Deepfox-1M

Model Developer: Mr.Robot1337 Model Type: Causal Language Model

Example Usage

Using Hugging Face Transformers:

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("SeraphyneLab/DeepFox-base-prototype")
tokenizer = AutoTokenizer.from_pretrained("SeraphyneLab/DeepFox-base-prototype")

input_text = "Once upon a time"
inputs = tokenizer(input_text, return_tensors="pt").to("cuda")
outputs = model.generate(**inputs, max_new_tokens=128)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))

License

This model is licensed under the Apache 2.0 License.