Instructions to use hf-internal-testing/tiny-random-data2vec_text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-data2vec_text with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-data2vec_text")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-data2vec_text") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-data2vec_text") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ef327e62cc7bac34dee2d058a626e756185a4a7e14544b6bacee2d3320f34b0
- Size of remote file:
- 9.8 MB
- SHA256:
- a800fe8e358fb2b1b5dca3b203f059682b722ac63077f920290aaa54e8d7be96
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