Instructions to use yseop/SMM4H2024_Task1_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yseop/SMM4H2024_Task1_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="yseop/SMM4H2024_Task1_roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("yseop/SMM4H2024_Task1_roberta") model = AutoModelForTokenClassification.from_pretrained("yseop/SMM4H2024_Task1_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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fix: meta data
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init: model card
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draft model card
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fix: adds model weights
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feat: winning ner model
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initial commit
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