Instructions to use bella/bert_finetuning_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bella/bert_finetuning_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bella/bert_finetuning_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bella/bert_finetuning_test") model = AutoModelForSequenceClassification.from_pretrained("bella/bert_finetuning_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from bella/bert_finetuning_test: direct link, hf CLI and curl.
- Browser
- Download file 921 Bytes
-
https://huggingface.co/bella/bert_finetuning_test/resolve/main/training_args.bin
- Command line
-
hf download hf://bella/bert_finetuning_test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bella/bert_finetuning_test/resolve/main/training_args.bin
921 Bytes
- Xet hash:
- 8e804d0099cf716d249d162f46323a0e89fec6afc55d514fae5450231d8ebd3b
- Size of remote file:
- 921 Bytes
- SHA256:
- 5c043f8872fc2e0db9cca8864135f98e60427ff82088c09a16b70a7d05a7d9bd
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