Instructions to use kaitchup/Llama-3-8B-llm2vec-Emb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kaitchup/Llama-3-8B-llm2vec-Emb with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kaitchup/Llama-3-8B-llm2vec-Emb") model = AutoModel.from_pretrained("kaitchup/Llama-3-8B-llm2vec-Emb") - Notebooks
- Google Colab
- Kaggle
Model Details
This is meta-llama/Meta-Llama-3-8B converted into an embedding model with llm2vec.
Details here:
To be announced.
- Developed by: The Kaitchup
- Language(s) (NLP): English
- License: Apache 2.0 license ; You must also accept the Llama 3 license
- Downloads last month
- 12
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support