Question Answering
Transformers
Safetensors
PEFT
English
llama
text-generation
tinyllama
lora
instruction-tuned
Lora
merged
medical
healthcare
text-generation-inference
Instructions to use nabilfaieaz/tinyllama-med-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nabilfaieaz/tinyllama-med-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nabilfaieaz/tinyllama-med-full")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("nabilfaieaz/tinyllama-med-full") model = AutoModelForCausalLM.from_pretrained("nabilfaieaz/tinyllama-med-full") - PEFT
How to use nabilfaieaz/tinyllama-med-full with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
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