Instructions to use connectivity/feather_berts_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/feather_berts_7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/feather_berts_7")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/feather_berts_7") model = AutoModelForSequenceClassification.from_pretrained("connectivity/feather_berts_7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download mnli_eval_bert_7.json from connectivity/feather_berts_7: direct link, hf CLI and curl.
- Browser
- Download file 5.52 MB
-
https://huggingface.co/connectivity/feather_berts_7/resolve/main/mnli_eval_bert_7.json
- Command line
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hf download hf://connectivity/feather_berts_7/mnli_eval_bert_7.json
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curl -L -o mnli_eval_bert_7.json https://huggingface.co/connectivity/feather_berts_7/resolve/main/mnli_eval_bert_7.json
5.52 MB
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