Instructions to use AnonymousSub/bert_snips with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/bert_snips with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/bert_snips")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/bert_snips") model = AutoModel.from_pretrained("AnonymousSub/bert_snips", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c42bbaab4508db261ab8ea73b1e4ac74f151a55fcc33b79fb7e0bf1f1148809c
- Size of remote file:
- 438 MB
- SHA256:
- 0172c07cc7970db1192564b6629d0a8d07bd2e9855ae4a6061611bbbd9d85f8b
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