fumea-f

1
license:apache-2.0
by
uaytug
Language Model
OTHER
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0 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Code Examples

Tool Usepythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model = AutoModelForCausalLM.from_pretrained(
    "uaytug/fumea-f", torch_dtype=torch.bfloat16,
    device_map="auto", trust_remote_code=True,
)
tokenizer = AutoTokenizer.from_pretrained("uaytug/fumea-f", trust_remote_code=True)

messages = [{"role": "user", "content": "Walk me through a DCF valuation for a SaaS company."}]
text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer(text, return_tensors="pt").to(model.device)
output = model.generate(**inputs, max_new_tokens=2048, temperature=0.6, top_p=0.9)
print(tokenizer.decode(output[0][inputs["input_ids"].shape[-1]:], skip_special_tokens=True))

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