Sentence Similarity
sentence-transformers
PyTorch
TensorBoard
Safetensors
Transformers
English
German
t5
text-embedding
embeddings
information-retrieval
beir
text-classification
language-model
text-clustering
text-semantic-similarity
text-evaluation
prompt-retrieval
text-reranking
feature-extraction
English
Sentence Similarity
natural_questions
ms_marco
fever
hotpot_qa
mteb
Instructions to use pascalhuerten/instructor-skillfit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use pascalhuerten/instructor-skillfit with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("pascalhuerten/instructor-skillfit") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use pascalhuerten/instructor-skillfit with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("pascalhuerten/instructor-skillfit") model = AutoModel.from_pretrained("pascalhuerten/instructor-skillfit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from pascalhuerten/instructor-skillfit: direct link, hf CLI and curl.
- Browser
- Download file 792 kB
-
https://huggingface.co/pascalhuerten/instructor-skillfit/resolve/main/spiece.model
- Command line
-
hf download hf://pascalhuerten/instructor-skillfit/spiece.model
-
curl -L -o spiece.model https://huggingface.co/pascalhuerten/instructor-skillfit/resolve/main/spiece.model
792 kB
- Xet hash:
- e7463c1c6b7c46ae0de79b004f3d7318bf4307ef0bef4de3be2e38ae80fab160
- Size of remote file:
- 792 kB
- SHA256:
- d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
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