Instructions to use Emanuel/porttagger-tweets-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Emanuel/porttagger-tweets-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Emanuel/porttagger-tweets-base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Emanuel/porttagger-tweets-base") model = AutoModelForTokenClassification.from_pretrained("Emanuel/porttagger-tweets-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6de7c1523388a9a56598e8620d3849c5356e50d534d05e9ba3c6efdc62ab061a
- Size of remote file:
- 433 MB
- SHA256:
- eb1c0c0489bdb4b55b305ca02e0cba1aa06164c8edae3a966f363c99676a0279
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