Instructions to use OTAR3088/CeLLaTe-ner-2class-pubmedbert-baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OTAR3088/CeLLaTe-ner-2class-pubmedbert-baseline with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="OTAR3088/CeLLaTe-ner-2class-pubmedbert-baseline")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("OTAR3088/CeLLaTe-ner-2class-pubmedbert-baseline") model = AutoModelForTokenClassification.from_pretrained("OTAR3088/CeLLaTe-ner-2class-pubmedbert-baseline", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c5e83688025708369ec0fdc72d6aba3e87ba9c4b769e580febb66b2b50d6d5b
- Size of remote file:
- 5.75 kB
- SHA256:
- 4d7ee67fea48586be1fe384131059bba41b066f86b97506c2b3f7ec7cbd9a9f6
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