Instructions to use Tommert25/multibertfinetuned1107 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tommert25/multibertfinetuned1107 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Tommert25/multibertfinetuned1107")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Tommert25/multibertfinetuned1107") model = AutoModelForTokenClassification.from_pretrained("Tommert25/multibertfinetuned1107", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40045904b3e6158a9ab637955065a90b7144d331ce6474ec7aef10e37dac2316
- Size of remote file:
- 667 MB
- SHA256:
- 3349fa39e9aa2c15fd3d6ad3a45259df27df3d15ea68de022c4256ec02798e72
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