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")# 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
- Xet hash:
- c3fe3ba1ce8c8e4fa9347d03f80f7ac7098f5d037f244b20a020cbd4c4c70789
- Size of remote file:
- 5.05 kB
- SHA256:
- 1719da579298f4008a2da808b2add116387da3c4b18a007ac2cabe6253f20d00
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