Instructions to use cryptoslamAlex/seq_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cryptoslamAlex/seq_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cryptoslamAlex/seq_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cryptoslamAlex/seq_classification") model = AutoModelForSequenceClassification.from_pretrained("cryptoslamAlex/seq_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from cryptoslamAlex/seq_classification: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/cryptoslamAlex/seq_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://cryptoslamAlex/seq_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cryptoslamAlex/seq_classification/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- f699c597b4fe13ed405badcaed42680f97232b776c12920d6a93ac62cb8cf068
- Size of remote file:
- 4.54 kB
- SHA256:
- f16af0d3d74e3614ed0135cfa09e35dae9020be849f4606360c7365566eceb53
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