Instructions to use payelb/ctrate_bert_medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use payelb/ctrate_bert_medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="payelb/ctrate_bert_medium")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("payelb/ctrate_bert_medium") model = AutoModelForSequenceClassification.from_pretrained("payelb/ctrate_bert_medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from payelb/ctrate_bert_medium: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/payelb/ctrate_bert_medium/resolve/main/training_args.bin
- Command line
-
hf download hf://payelb/ctrate_bert_medium/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/payelb/ctrate_bert_medium/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 96c35c60dc3738f075fbe5ab5311a9bc60a5c3c35c21bfc3cca2a894187faeed
- Size of remote file:
- 5.37 kB
- SHA256:
- 33ceee351dff131eba1f91dca507e7864c51037548c173dd741a11e584714a14
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