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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot