Instructions to use IntelligentRelations/interaction-classification_google-electra-small-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IntelligentRelations/interaction-classification_google-electra-small-generator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IntelligentRelations/interaction-classification_google-electra-small-generator")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IntelligentRelations/interaction-classification_google-electra-small-generator") model = AutoModelForSequenceClassification.from_pretrained("IntelligentRelations/interaction-classification_google-electra-small-generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from IntelligentRelations/interaction-classification_google-electra-small-generator: direct link, hf CLI and curl.
- Browser
- Download file 3.31 kB
-
https://huggingface.co/IntelligentRelations/interaction-classification_google-electra-small-generator/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://IntelligentRelations/interaction-classification_google-electra-small-generator@refs/pr/1/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/IntelligentRelations/interaction-classification_google-electra-small-generator/resolve/refs%2Fpr%2F1/training_args.bin
3.31 kB
- Xet hash:
- 012b2194b7f3e93f5dc7a7255308bdf3f004f143e2998a986f3aea6fa3f3b8f3
- Size of remote file:
- 3.31 kB
- SHA256:
- 128727c6b739f24ec8a96c8ee1229a6711d149f06161d5ae4f9c9673a16e6645
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