Instructions to use damand2061/innermore-x-indobertweet-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use damand2061/innermore-x-indobertweet-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="damand2061/innermore-x-indobertweet-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("damand2061/innermore-x-indobertweet-base-uncased") model = AutoModelForTokenClassification.from_pretrained("damand2061/innermore-x-indobertweet-base-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1810225680138123b87e5c97b3ea6684e486fa618af165dc30a02df51b97587
- Size of remote file:
- 440 MB
- SHA256:
- 9f8b990b85608a24a58335109f700e15f851d31f8854b64532f4e45e549f4ec4
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