Instructions to use connectivity/feather_berts_44 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/feather_berts_44 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/feather_berts_44")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/feather_berts_44") model = AutoModelForSequenceClassification.from_pretrained("connectivity/feather_berts_44", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download hans_eval_bert_44.json from connectivity/feather_berts_44: direct link, hf CLI and curl.
- Browser
- Download file 12.1 MB
-
https://huggingface.co/connectivity/feather_berts_44/resolve/main/hans_eval_bert_44.json
- Command line
-
hf download hf://connectivity/feather_berts_44/hans_eval_bert_44.json
-
curl -L -o hans_eval_bert_44.json https://huggingface.co/connectivity/feather_berts_44/resolve/main/hans_eval_bert_44.json
12.1 MB
- Xet hash:
- b89c62bcb306db7d0b72da7abc3caf00ee7ea2601fe51c385bf3230f0b5450f0
- Size of remote file:
- 12.1 MB
- SHA256:
- b1ad572162c73f1ab72d466efadda2e9cb1771d7aa8f56f3cbeb5253f1942984
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