Instructions to use pysentimiento/robertuito-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pysentimiento/robertuito-pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pysentimiento/robertuito-pos")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pysentimiento/robertuito-pos") model = AutoModelForTokenClassification.from_pretrained("pysentimiento/robertuito-pos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39a0c7e7ab93938f564f8be82a5871e746c548b2822d05e2e38f8d1f0f1e97a7
- Size of remote file:
- 433 MB
- SHA256:
- 52180c4a700faccc2bfd89e8ac69f72dbd9699d9098c927dd6905597f1b3bac3
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