Instructions to use eskayML/old_electra_pytranscripts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eskayML/old_electra_pytranscripts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eskayML/old_electra_pytranscripts")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eskayML/old_electra_pytranscripts") model = AutoModelForSequenceClassification.from_pretrained("eskayML/old_electra_pytranscripts") - Notebooks
- Google Colab
- Kaggle
- Size of remote file:
- 54.2 MB
- SHA256:
- e39f45a0be0b095f4c30756e3d98ef4c1f7ceb03f2f6f0652863ceb8ac226767
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