Instructions to use typeform/mobilebert-uncased-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use typeform/mobilebert-uncased-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="typeform/mobilebert-uncased-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("typeform/mobilebert-uncased-mnli") model = AutoModelForSequenceClassification.from_pretrained("typeform/mobilebert-uncased-mnli", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32538115e8cf0af2bc7a64fbd8dd59d04e78a77964e873594b7f43ec1234a3a7
- Size of remote file:
- 98.8 MB
- SHA256:
- 23665b8297e7dd121f8a6380566c9214b3c9705f25c00c34c9972c4b9f9ea961
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