Instructions to use ra1nbowdash/mountain-ner-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ra1nbowdash/mountain-ner-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ra1nbowdash/mountain-ner-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ra1nbowdash/mountain-ner-bert") model = AutoModelForTokenClassification.from_pretrained("ra1nbowdash/mountain-ner-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2458b09eee9a505cf11e02e381068f2071c026d59342e7698f1d73e59907314e
- Size of remote file:
- 5.46 kB
- SHA256:
- ffb16008b6e58f70011f32bab48f1126321b02b74d67e1f5633afad18b20248c
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