Question Answering
Transformers
Safetensors
English
llama
text-generation
medical
lora
sft
dpo
tinyllama
text-generation-inference
Instructions to use MuhammadHamza33/medi-llama-dpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MuhammadHamza33/medi-llama-dpo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="MuhammadHamza33/medi-llama-dpo")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("MuhammadHamza33/medi-llama-dpo") model = AutoModelForCausalLM.from_pretrained("MuhammadHamza33/medi-llama-dpo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "max_length": 2048, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.57.6" | |
| } | |