Instructions to use medelharchaoui/bert-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use medelharchaoui/bert-finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="medelharchaoui/bert-finetune")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("medelharchaoui/bert-finetune") model = AutoModelForSequenceClassification.from_pretrained("medelharchaoui/bert-finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from medelharchaoui/bert-finetune: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/medelharchaoui/bert-finetune/resolve/main/training_args.bin
- Command line
-
hf download hf://medelharchaoui/bert-finetune/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/medelharchaoui/bert-finetune/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 2e238a8b2da12a28ca5f02045f1a4ceab9964789bd6ce811a2f9458f3bf78d53
- Size of remote file:
- 4.98 kB
- SHA256:
- bafc9d3af93f0990e9da9a88e9d53679837cc6a7c1959b84b274291da9bc1d1e
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