Instructions to use BenjaminOcampo/model-bert__trained-in-dynahate__seed-42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenjaminOcampo/model-bert__trained-in-dynahate__seed-42 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BenjaminOcampo/model-bert__trained-in-dynahate__seed-42")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/model-bert__trained-in-dynahate__seed-42") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/model-bert__trained-in-dynahate__seed-42", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5204b7f3d5c3381b3b579b6754cd91e5c8bfce0b759b1151767b83c9f38f9bd0
- Size of remote file:
- 438 MB
- SHA256:
- 37f81128079a8e4fc87624c3576482bffaa159685bd8e4fa46109bf0d474c282
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