Instructions to use facebook/data2vec-text-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/data2vec-text-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/data2vec-text-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("facebook/data2vec-text-base") model = AutoModel.from_pretrained("facebook/data2vec-text-base") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): ca39186
Update config.json
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config.json
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"architectures": [
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"architectures": [
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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