Instructions to use malteos/scincl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use malteos/scincl with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("malteos/scincl") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Transformers
How to use malteos/scincl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="malteos/scincl")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("malteos/scincl") model = AutoModel.from_pretrained("malteos/scincl", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download config_sentence_transformers.json from malteos/scincl: direct link, hf CLI and curl.
- Browser
- Download file 205 Bytes
-
https://huggingface.co/malteos/scincl/resolve/main/config_sentence_transformers.json
- Command line
-
hf download hf://malteos/scincl/config_sentence_transformers.json
-
curl -L -o config_sentence_transformers.json https://huggingface.co/malteos/scincl/resolve/main/config_sentence_transformers.json
205 Bytes
| { | |
| "__version__": { | |
| "sentence_transformers": "3.0.0", | |
| "transformers": "4.41.2", | |
| "pytorch": "2.3.0+cu121" | |
| }, | |
| "prompts": {}, | |
| "default_prompt_name": null, | |
| "similarity_fn_name": "cosine" | |
| } |