Instructions to use mrm8488/mobilebert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/mobilebert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mrm8488/mobilebert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/mobilebert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("mrm8488/mobilebert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 704edd1073e405ffba02459f46a87de130d8d6db51c24436718e65561c2d5bc8
- Size of remote file:
- 98.6 MB
- SHA256:
- 85eadc14397631754e793a55fdd18517fa4c479f429c055e37b8df7e32bb52af
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