Instructions to use hossein20s/bert-base-multilingual-cased-enrun10k-train0.1-validation0.1-test1-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hossein20s/bert-base-multilingual-cased-enrun10k-train0.1-validation0.1-test1-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hossein20s/bert-base-multilingual-cased-enrun10k-train0.1-validation0.1-test1-es")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hossein20s/bert-base-multilingual-cased-enrun10k-train0.1-validation0.1-test1-es") model = AutoModelForTokenClassification.from_pretrained("hossein20s/bert-base-multilingual-cased-enrun10k-train0.1-validation0.1-test1-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
No model card
- Downloads last month
- 2