Instructions to use vubacktracking/mamba_text_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vubacktracking/mamba_text_classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vubacktracking/mamba_text_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vubacktracking/mamba_text_classification: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/vubacktracking/mamba_text_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://vubacktracking/mamba_text_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vubacktracking/mamba_text_classification/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- f5b87bc58a13cfd9aeb8614aa3da03907deed8157c27b4a4d595f7bc5c383f0a
- Size of remote file:
- 4.98 kB
- SHA256:
- fd330e7d80d845e5ede2f52eae0afeb455e7e5fda0ae2a260645733b7a05375e
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