Sentence Similarity
Transformers
Safetensors
English
llama
feature-extraction
text-embedding
embeddings
information-retrieval
beir
text-classification
language-model
text-clustering
text-semantic-similarity
text-evaluation
text-reranking
Sentence Similarity
natural_questions
ms_marco
fever
hotpot_qa
mteb
custom_code
text-embeddings-inference
Instructions to use vigneshk0702/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vigneshk0702/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("vigneshk0702/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp", trust_remote_code=True) model = AutoModel.from_pretrained("vigneshk0702/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 335 Bytes
008288b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"bos_token": {
"content": "<|begin_of_text|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"eos_token": {
"content": "<|end_of_text|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"pad_token": "<|end_of_text|>"
}
|