Instructions to use connectivity/feather_berts_51 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/feather_berts_51 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/feather_berts_51")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/feather_berts_51") model = AutoModelForSequenceClassification.from_pretrained("connectivity/feather_berts_51", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from connectivity/feather_berts_51: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/connectivity/feather_berts_51/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://connectivity/feather_berts_51/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/connectivity/feather_berts_51/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 29b85e6e94968ed64b8797e668715a072b00b3598bd4b52673925dda1c400e88
- Size of remote file:
- 438 MB
- SHA256:
- f9b72419c4c66c5be7406d34b3debf41535ea7299591e2a1fbf776ce4186e6db
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