Instructions to use AMUseBot/roberta-base-cookdial-v1_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AMUseBot/roberta-base-cookdial-v1_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AMUseBot/roberta-base-cookdial-v1_1")# Load model directly from transformers import AutoTokenizer, RobertaForMultiLabelSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AMUseBot/roberta-base-cookdial-v1_1") model = RobertaForMultiLabelSequenceClassification.from_pretrained("AMUseBot/roberta-base-cookdial-v1_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 870c53a3e6e8fffbddbdd3b939799d8ca70abca2cfa094967869ad64c157c774
- Size of remote file:
- 3.07 kB
- SHA256:
- 73802d1fcb79dd557a843372f46639157dcd27c67e77e385610b6106f9e2e40d
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