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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 466db74a17e6b989121725ee0f9db03f0238d3ccbb38b0a8134c0939183b678d
- Size of remote file:
- 3.44 kB
- SHA256:
- b6a66ea0e0fb362abc4f707b50c3c822c460db6bd106f2563c02a792fa76cff7
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