Instructions to use Milian/bert_finetuning_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Milian/bert_finetuning_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Milian/bert_finetuning_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Milian/bert_finetuning_test") model = AutoModelForSequenceClassification.from_pretrained("Milian/bert_finetuning_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Milian/bert_finetuning_test: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Milian/bert_finetuning_test/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Milian/bert_finetuning_test/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Milian/bert_finetuning_test/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 9e94ddc087214c78bfd4e44e864ab6c264828ce1ad9e7ef74b5dd6f59503e49c
- Size of remote file:
- 438 MB
- SHA256:
- 85aa48779fb0d3b5237713284bdcd9b931c33d06bf33673c0db0c7eace40dca6
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