Instructions to use JaySenpai/bert-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JaySenpai/bert-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JaySenpai/bert-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JaySenpai/bert-model") model = AutoModelForSequenceClassification.from_pretrained("JaySenpai/bert-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51bae8792d6603d5c680eca6e4653e27cf85639e53ec5dd515726afdf5e42d02
- Size of remote file:
- 573 Bytes
- SHA256:
- eeaed33f5b1679639ec637bca7f6c14857aa10ac84c201269527543e9a1002dd
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