Instructions to use BenjaminOcampo/model-bert__trained-in-dynahate__seed-1 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-1 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-1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/model-bert__trained-in-dynahate__seed-1") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/model-bert__trained-in-dynahate__seed-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5470ec68d1d3128dc075671791f4b4d839db570bde28e6be8517dc7aa6e6125
- Size of remote file:
- 3.52 kB
- SHA256:
- 3c9e1f117f7a01685d18baa197a1e70c69bf94b6a9a8b1c954f512cb65232272
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