Instructions to use MarkelFe/mbert-sadness with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MarkelFe/mbert-sadness with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, BertRegresser tokenizer = AutoTokenizer.from_pretrained("MarkelFe/mbert-sadness") model = BertRegresser.from_pretrained("MarkelFe/mbert-sadness", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from MarkelFe/mbert-sadness: direct link, hf CLI and curl.
- Browser
- Download file 712 MB
-
https://huggingface.co/MarkelFe/mbert-sadness/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://MarkelFe/mbert-sadness/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/MarkelFe/mbert-sadness/resolve/main/pytorch_model.bin
712 MB
- Xet hash:
- f8b1c9260e9c991e821fa91a71d90a9a9b6053ce7ac3ec1e6b2f3a6956d51319
- Size of remote file:
- 712 MB
- SHA256:
- f0414d424bc69c370cf496041db0c92f0cecfd0ea3d2320db37ae949dd521f99
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