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:
- 8158663c8df959f2250e2b16b6bb563e24c0fcbf8ead439aed91d9cbb14977e7
- Size of remote file:
- 3.96 kB
- SHA256:
- 6fa869a473f1680d776353bc703661598a7e282f64d325257184dffc31051cdd
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