Instructions to use facebook/w2v-bert-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/w2v-bert-2.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/w2v-bert-2.0")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("facebook/w2v-bert-2.0") model = AutoModel.from_pretrained("facebook/w2v-bert-2.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload feature extractor (#13)
Verified signature- Upload feature extractor (bc845ffa319e332e043bb945c3739e67034666e3) Co-authored-by: Yoach Lacombe <ylacombe@users.noreply.huggingface.co>3dadbe0
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Upload feature extractor (#9)
- Upload feature extractor (337ea4b045d3e0475737912afef4afb32398953b) Co-authored-by: Yoach Lacombe <ylacombe@users.noreply.huggingface.co>e531313