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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Size of remote file:
- 5.3 kB
- SHA256:
- 902f6623c6c6f42a2cbefe8c871a18c74a6d7b567b6c98f5e712a4b85c911ca6
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