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:
- bb8cd3543c8e71f0f9dfebf7e1816c7664477db9cb182e5dc822e34e4d283a5a
- Size of remote file:
- 3.96 kB
- SHA256:
- ee02a7cbbc9cd4aa91fe9785eb59233df52f0318d4288892d7957dab1a8ff3da
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