Instructions to use typeform/roberta-large-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use typeform/roberta-large-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="typeform/roberta-large-mnli", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("typeform/roberta-large-mnli") model = AutoModelForSequenceClassification.from_pretrained("typeform/roberta-large-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 939c4c0c4d48e6fbc3a7c88c39ec7fc1b85cc27014fbe72e08bbac51e8aa4b43
- Size of remote file:
- 1.42 GB
- SHA256:
- 5f85303ef9f3885407a2b7ba13c6babe30283d4ac4ee78bf68366a4e9739346b
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