udlm-qm9

62
license:apache-2.0
by
kuleshov-group
Language Model
OTHER
New
62 downloads
Early-stage
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Quick Summary

To use this pre-trained model with the HuggingFace APIs, use the following snippet: UDLM stands for Uniform Diffusion Language Models.

Code Examples

Quick Start Guidepythontransformers
from transformers import AutoModelForMaskedLM, AutoTokenizer

# See the `UDLM` collection page on the hub for list of available models.
tokenizer = transformers.AutoTokenizer.from_pretrained('yairschiff/qm9-tokenizer')
model_name = 'kuleshov-group/udlm-qm9'
model = AutoModelForMaskedLM.from_pretrained(model_name)
Quick Start Guidepythontransformers
from transformers import AutoModelForMaskedLM, AutoTokenizer

# See the `UDLM` collection page on the hub for list of available models.
tokenizer = transformers.AutoTokenizer.from_pretrained('yairschiff/qm9-tokenizer')
model_name = 'kuleshov-group/udlm-qm9'
model = AutoModelForMaskedLM.from_pretrained(model_name)
Quick Start Guidepythontransformers
from transformers import AutoModelForMaskedLM, AutoTokenizer

# See the `UDLM` collection page on the hub for list of available models.
tokenizer = transformers.AutoTokenizer.from_pretrained('yairschiff/qm9-tokenizer')
model_name = 'kuleshov-group/udlm-qm9'
model = AutoModelForMaskedLM.from_pretrained(model_name)
Quick Start Guidepythontransformers
from transformers import AutoModelForMaskedLM, AutoTokenizer

# See the `UDLM` collection page on the hub for list of available models.
tokenizer = transformers.AutoTokenizer.from_pretrained('yairschiff/qm9-tokenizer')
model_name = 'kuleshov-group/udlm-qm9'
model = AutoModelForMaskedLM.from_pretrained(model_name)
Quick Start Guidepythontransformers
from transformers import AutoModelForMaskedLM, AutoTokenizer

# See the `UDLM` collection page on the hub for list of available models.
tokenizer = transformers.AutoTokenizer.from_pretrained('yairschiff/qm9-tokenizer')
model_name = 'kuleshov-group/udlm-qm9'
model = AutoModelForMaskedLM.from_pretrained(model_name)
Quick Start Guidepythontransformers
from transformers import AutoModelForMaskedLM, AutoTokenizer

# See the `UDLM` collection page on the hub for list of available models.
tokenizer = transformers.AutoTokenizer.from_pretrained('yairschiff/qm9-tokenizer')
model_name = 'kuleshov-group/udlm-qm9'
model = AutoModelForMaskedLM.from_pretrained(model_name)
Quick Start Guidepythontransformers
from transformers import AutoModelForMaskedLM, AutoTokenizer

# See the `UDLM` collection page on the hub for list of available models.
tokenizer = transformers.AutoTokenizer.from_pretrained('yairschiff/qm9-tokenizer')
model_name = 'kuleshov-group/udlm-qm9'
model = AutoModelForMaskedLM.from_pretrained(model_name)
Quick Start Guidepythontransformers
from transformers import AutoModelForMaskedLM, AutoTokenizer

# See the `UDLM` collection page on the hub for list of available models.
tokenizer = transformers.AutoTokenizer.from_pretrained('yairschiff/qm9-tokenizer')
model_name = 'kuleshov-group/udlm-qm9'
model = AutoModelForMaskedLM.from_pretrained(model_name)
Quick Start Guidepythontransformers
from transformers import AutoModelForMaskedLM, AutoTokenizer

# See the `UDLM` collection page on the hub for list of available models.
tokenizer = transformers.AutoTokenizer.from_pretrained('yairschiff/qm9-tokenizer')
model_name = 'kuleshov-group/udlm-qm9'
model = AutoModelForMaskedLM.from_pretrained(model_name)
Quick Start Guidepythontransformers
from transformers import AutoModelForMaskedLM, AutoTokenizer

# See the `UDLM` collection page on the hub for list of available models.
tokenizer = transformers.AutoTokenizer.from_pretrained('yairschiff/qm9-tokenizer')
model_name = 'kuleshov-group/udlm-qm9'
model = AutoModelForMaskedLM.from_pretrained(model_name)
Quick Start Guidepythontransformers
from transformers import AutoModelForMaskedLM, AutoTokenizer

# See the `UDLM` collection page on the hub for list of available models.
tokenizer = transformers.AutoTokenizer.from_pretrained('yairschiff/qm9-tokenizer')
model_name = 'kuleshov-group/udlm-qm9'
model = AutoModelForMaskedLM.from_pretrained(model_name)
Quick Start Guidepythontransformers
from transformers import AutoModelForMaskedLM, AutoTokenizer

# See the `UDLM` collection page on the hub for list of available models.
tokenizer = transformers.AutoTokenizer.from_pretrained('yairschiff/qm9-tokenizer')
model_name = 'kuleshov-group/udlm-qm9'
model = AutoModelForMaskedLM.from_pretrained(model_name)
Quick Start Guidepythontransformers
from transformers import AutoModelForMaskedLM, AutoTokenizer

# See the `UDLM` collection page on the hub for list of available models.
tokenizer = transformers.AutoTokenizer.from_pretrained('yairschiff/qm9-tokenizer')
model_name = 'kuleshov-group/udlm-qm9'
model = AutoModelForMaskedLM.from_pretrained(model_name)

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