Instructions to use agaresd/encoder_only_deepL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agaresd/encoder_only_deepL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="agaresd/encoder_only_deepL")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("agaresd/encoder_only_deepL") model = AutoModelForSequenceClassification.from_pretrained("agaresd/encoder_only_deepL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from agaresd/encoder_only_deepL: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/agaresd/encoder_only_deepL/resolve/main/training_args.bin
- Command line
-
hf download hf://agaresd/encoder_only_deepL/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/agaresd/encoder_only_deepL/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- dc71499eb5f13901d4735130a7c47555a72212e6de5846c6dcdb6a36fc9e5e09
- Size of remote file:
- 5.24 kB
- SHA256:
- 7ec446e69ddb83cc2093e7708441023691459d94a7dc410084032eaa236b77f7
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