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:
- de49780be0c685b25b37b425abd4486ae117cc923d3a765fd7bf287c21d8a1e7
- Size of remote file:
- 1.2 kB
- SHA256:
- 6f595a704c8ec43457eac9895105b86fab37677c1e49815f392cb159bd2a2f8a
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