Zero-Shot Classification
PyTorch
Transformers
sentence-transformers
English
zeroshot_classifier
bert
feature-extraction
Instructions to use claritylab/zero-shot-implicit-bi-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use claritylab/zero-shot-implicit-bi-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="claritylab/zero-shot-implicit-bi-encoder")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("claritylab/zero-shot-implicit-bi-encoder") model = AutoModel.from_pretrained("claritylab/zero-shot-implicit-bi-encoder", device_map="auto") - sentence-transformers
How to use claritylab/zero-shot-implicit-bi-encoder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("claritylab/zero-shot-implicit-bi-encoder") 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] - Notebooks
- Google Colab
- Kaggle
Download 1_Pooling/config.json from claritylab/zero-shot-implicit-bi-encoder: direct link, hf CLI and curl.
- Browser
- Download file 190 Bytes
-
https://huggingface.co/claritylab/zero-shot-implicit-bi-encoder/resolve/refs%2Fpr%2F1/1_Pooling/config.json
- Command line
-
hf download hf://claritylab/zero-shot-implicit-bi-encoder@refs/pr/1/1_Pooling/config.json
-
curl -L -o config.json https://huggingface.co/claritylab/zero-shot-implicit-bi-encoder/resolve/refs%2Fpr%2F1/1_Pooling/config.json
190 Bytes
| { | |
| "word_embedding_dimension": 768, | |
| "pooling_mode_cls_token": false, | |
| "pooling_mode_mean_tokens": true, | |
| "pooling_mode_max_tokens": false, | |
| "pooling_mode_mean_sqrt_len_tokens": false | |
| } |