Instructions to use connectivity/feather_berts_21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/feather_berts_21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/feather_berts_21")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/feather_berts_21") model = AutoModelForSequenceClassification.from_pretrained("connectivity/feather_berts_21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download hans_eval_bert_21.json from connectivity/feather_berts_21: direct link, hf CLI and curl.
- Browser
- Download file 12.1 MB
-
https://huggingface.co/connectivity/feather_berts_21/resolve/main/hans_eval_bert_21.json
- Command line
-
hf download hf://connectivity/feather_berts_21/hans_eval_bert_21.json
-
curl -L -o hans_eval_bert_21.json https://huggingface.co/connectivity/feather_berts_21/resolve/main/hans_eval_bert_21.json
12.1 MB
- Xet hash:
- 41f4f42d217782112bfd2aab8a23680f509337efcc9238c6fd251200e98e6d0e
- Size of remote file:
- 12.1 MB
- SHA256:
- df25afe41418a2dd2e5cb4d80f1c5ab7081c841b0168dbc6af8181890c0f58ef
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