Instructions to use Gaxys/DistilBERT-PD_Books with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gaxys/DistilBERT-PD_Books with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Gaxys/DistilBERT-PD_Books")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Gaxys/DistilBERT-PD_Books") model = AutoModelForSequenceClassification.from_pretrained("Gaxys/DistilBERT-PD_Books", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Gaxys/DistilBERT-PD_Books: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/Gaxys/DistilBERT-PD_Books/resolve/main/training_args.bin
- Command line
-
hf download hf://Gaxys/DistilBERT-PD_Books/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Gaxys/DistilBERT-PD_Books/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 3251f467bb42c42fb2bb158aa351606d04397756d115c5d3e50dc1f877b37636
- Size of remote file:
- 4.6 kB
- SHA256:
- 39d4d336fd97177861d74d4a35e086d0fc85a3cbe51b2995f4fda894e6532c13
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