Instructions to use Zaid/off-eval-bert-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zaid/off-eval-bert-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Zaid/off-eval-bert-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Zaid/off-eval-bert-en") model = AutoModelForSequenceClassification.from_pretrained("Zaid/off-eval-bert-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 947a41dcb69718c7dbdb79132a1fde3dff92604b1ddcdd88eb1e3aa172fd5113
- Size of remote file:
- 438 MB
- SHA256:
- 4135efa7f45de2d193c447d4ada3b106c898b0e7058f296820f2103729c0b763
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