Instructions to use datasciencemmw/old-beta2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datasciencemmw/old-beta2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="datasciencemmw/old-beta2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("datasciencemmw/old-beta2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from datasciencemmw/old-beta2: direct link, hf CLI and curl.
- Browser
- Download file 1.42 kB
-
https://huggingface.co/datasciencemmw/old-beta2/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://datasciencemmw/old-beta2/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/datasciencemmw/old-beta2/resolve/main/tokenizer_config.json
1.42 kB
- Xet hash:
- 08c785612f78163ad2f82c9a3a9226aa1390ae8dcb8278cd480ac7aea77f447e
- Size of remote file:
- 1.42 kB
- SHA256:
- c2285ceb256bfc18ff0c32de05da74eae6ce2f879af2ae8d4cf96cd36ccff3df
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