Instructions to use connectivity/feather_berts_41 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/feather_berts_41 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/feather_berts_41")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/feather_berts_41") model = AutoModelForSequenceClassification.from_pretrained("connectivity/feather_berts_41", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from connectivity/feather_berts_41: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/connectivity/feather_berts_41/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://connectivity/feather_berts_41/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/connectivity/feather_berts_41/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 66f02e9954ec3832c27cfaeaf6e1c5edaf4fd3f9743eb417071d5f586f523722
- Size of remote file:
- 438 MB
- SHA256:
- ec2c29288af6391e67603a9133495e1784be1f582974704e4a2d7db37828de54
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