Instructions to use bogdankostic/ETC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bogdankostic/ETC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bogdankostic/ETC")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bogdankostic/ETC") model = AutoModelForSequenceClassification.from_pretrained("bogdankostic/ETC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e8b504cd05d70b6ea148107fe0b6017656e0ee4d57984f4ce8fb7a264576d33
- Size of remote file:
- 2.23 GB
- SHA256:
- 1e7df6da80196b9b46582da87ec976eb845732596d3cc1d68e394ce18467adca
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