Instructions to use Cournane/roberta-base-finetuned-Hat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cournane/roberta-base-finetuned-Hat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cournane/roberta-base-finetuned-Hat", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cournane/roberta-base-finetuned-Hat") model = AutoModelForSequenceClassification.from_pretrained("Cournane/roberta-base-finetuned-Hat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e117a1e736dce088b7080d67254d1d84ab2ee1c41553f6472fa1af865bd9fcee
- Size of remote file:
- 499 MB
- SHA256:
- 9506eb9bdb72eedb88ecda5d56e38c4199ee2900029997ca5de1f13ec8ccb050
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