You can deploy this model and start earning money today!

kakasho/
Affine-18

Name: Affine-18
Availability: InStock

Views

No views yet

Affine-18

Fine-tuned model for Affine subnet

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained(
    "kakasho/Affine-18",
    torch_dtype="auto",
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("kakasho/Affine-18")

# Generate text
messages = [
    {"role": "user", "content": "Hello, how are you?"}
]
text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer(text, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Training Details

Training was performed using the Hugging Face Transformers library
Model was fine-tuned on conversational data

Limitations

This model inherits limitations from its base model and training data. Use responsibly and be aware of potential biases.