NovoMolGen_300M_SMILES_BPE

8
1 language
llama
by
chandar-lab
Language Model
OTHER
New
8 downloads
Early-stage
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Quick Summary

NovoMolGen is a family of molecular foundation models trained on 1.

Code Examples

How to loadpythontransformers
>>> from transformers import AutoTokenizer, AutoModelForCausalLM
>>> tokenizer = AutoTokenizer.from_pretrained("chandar-lab/NovoMolGen_300M_SMILES_BPE", trust_remote_code=True)
>>> model = AutoModelForCausalLM.from_pretrained("chandar-lab/NovoMolGen_300M_SMILES_BPE", trust_remote_code=True)
How to loadpythontransformers
>>> from transformers import AutoTokenizer, AutoModelForCausalLM
>>> tokenizer = AutoTokenizer.from_pretrained("chandar-lab/NovoMolGen_300M_SMILES_BPE", trust_remote_code=True)
>>> model = AutoModelForCausalLM.from_pretrained("chandar-lab/NovoMolGen_300M_SMILES_BPE", trust_remote_code=True)
How to loadpythontransformers
>>> from transformers import AutoTokenizer, AutoModelForCausalLM
>>> tokenizer = AutoTokenizer.from_pretrained("chandar-lab/NovoMolGen_300M_SMILES_BPE", trust_remote_code=True)
>>> model = AutoModelForCausalLM.from_pretrained("chandar-lab/NovoMolGen_300M_SMILES_BPE", trust_remote_code=True)
How to loadpythontransformers
>>> from transformers import AutoTokenizer, AutoModelForCausalLM
>>> tokenizer = AutoTokenizer.from_pretrained("chandar-lab/NovoMolGen_300M_SMILES_BPE", trust_remote_code=True)
>>> model = AutoModelForCausalLM.from_pretrained("chandar-lab/NovoMolGen_300M_SMILES_BPE", trust_remote_code=True)
How to loadpythontransformers
>>> from transformers import AutoTokenizer, AutoModelForCausalLM
>>> tokenizer = AutoTokenizer.from_pretrained("chandar-lab/NovoMolGen_300M_SMILES_BPE", trust_remote_code=True)
>>> model = AutoModelForCausalLM.from_pretrained("chandar-lab/NovoMolGen_300M_SMILES_BPE", trust_remote_code=True)

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