Instructions to use EYEDOL/LLAMA_2_MODEL_HEALTHCHATBOT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EYEDOL/LLAMA_2_MODEL_HEALTHCHATBOT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="EYEDOL/LLAMA_2_MODEL_HEALTHCHATBOT")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("EYEDOL/LLAMA_2_MODEL_HEALTHCHATBOT") model = AutoModel.from_pretrained("EYEDOL/LLAMA_2_MODEL_HEALTHCHATBOT") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("EYEDOL/LLAMA_2_MODEL_HEALTHCHATBOT")
model = AutoModel.from_pretrained("EYEDOL/LLAMA_2_MODEL_HEALTHCHATBOT")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="EYEDOL/LLAMA_2_MODEL_HEALTHCHATBOT")