Instructions to use mnavas/bertmulti-finetuned-token-reqadjzar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mnavas/bertmulti-finetuned-token-reqadjzar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mnavas/bertmulti-finetuned-token-reqadjzar")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mnavas/bertmulti-finetuned-token-reqadjzar") model = AutoModelForTokenClassification.from_pretrained("mnavas/bertmulti-finetuned-token-reqadjzar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
María Navas Loro commited on
Commit ·
41ce92e
1
Parent(s): 3a421f9
Training in progress, epoch 200
Browse files
pytorch_model.bin
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