Instructions to use allUP/distilbert-annotation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allUP/distilbert-annotation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="allUP/distilbert-annotation")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("allUP/distilbert-annotation") model = AutoModelForTokenClassification.from_pretrained("allUP/distilbert-annotation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed8b9ab4055870c723ccfbd4e6325ce848ea3189ab9a7b869f2f23ae332c3862
- Size of remote file:
- 265 MB
- SHA256:
- f852a47113d7d52c9e3e3b0e079af4a31ea49e26ea5672981ee9c8f6fa01239c
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