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 flax_model.msgpack from bella/bert_finetuning_test: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/bella/bert_finetuning_test/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://bella/bert_finetuning_test/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/bella/bert_finetuning_test/resolve/main/flax_model.msgpack
438 MB
- Xet hash:
- 3e74c590a6b2985fcd297853b652cfbc10b84ae935c7f064d36730f00768a625
- Size of remote file:
- 438 MB
- SHA256:
- b837eec12bf1acaf85350617b5be295ae6d144d08aa742801838a54b8c87454d
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