Instructions to use avichr/hebEMO_surprise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avichr/hebEMO_surprise with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="avichr/hebEMO_surprise")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("avichr/hebEMO_surprise") model = AutoModelForSequenceClassification.from_pretrained("avichr/hebEMO_surprise", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from avichr/hebEMO_surprise: direct link, hf CLI and curl.
- Browser
- Download file 1.78 kB
-
https://huggingface.co/avichr/hebEMO_surprise/resolve/main/training_args.bin
- Command line
-
hf download hf://avichr/hebEMO_surprise/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/avichr/hebEMO_surprise/resolve/main/training_args.bin
1.78 kB
- Xet hash:
- 94c085bc4e3b8cc8740b7fbfa1b68331d70de8637046e7af5f149939eefded1c
- Size of remote file:
- 1.78 kB
- SHA256:
- 1f3bc5b98611c66c60099dc4beb2481fb9f2fea10ccf9e8078f207e6355de2be
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