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 pytorch_model.bin from IntelligentRelations/interaction-classification_google-electra-small-generator: direct link, hf CLI and curl.
- Browser
- Download file 54.3 MB
-
https://huggingface.co/IntelligentRelations/interaction-classification_google-electra-small-generator/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://IntelligentRelations/interaction-classification_google-electra-small-generator@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/IntelligentRelations/interaction-classification_google-electra-small-generator/resolve/refs%2Fpr%2F1/pytorch_model.bin
54.3 MB
- Xet hash:
- 6c4dee4ced772192ee9cc418b588168dc57cd4766e52f1baac37eb24963bc99b
- Size of remote file:
- 54.3 MB
- SHA256:
- dd1c970e3c30d3c98b2cf94c4a9aa48e0cbbac30f860eab45dda68628f6cc3bf
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