Instructions to use bgk/mobilebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bgk/mobilebert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bgk/mobilebert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bgk/mobilebert") model = AutoModelForTokenClassification.from_pretrained("bgk/mobilebert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5ff946b8b34addf19409f4bce01fcda64a331a5ca7cf0d5c4c30fcd320906f0
- Size of remote file:
- 215 MB
- SHA256:
- dc816b9f2b887bed53bce9f18b1daba31c0eba855543d4ff58fac3e2e8dfa095
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