Instructions to use Tommert25/multibertfinetuned1108 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tommert25/multibertfinetuned1108 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Tommert25/multibertfinetuned1108")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Tommert25/multibertfinetuned1108") model = AutoModelForTokenClassification.from_pretrained("Tommert25/multibertfinetuned1108", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac5436a4e474108c5f97368783c55e4166c53d40ae11936eaa728f100f2dc3ac
- Size of remote file:
- 667 MB
- SHA256:
- 1ed9dac43e234759cdfac4c042be4ba16bc056e20398d0c9cfdbeac775f03b3f
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