Instructions to use dariast/mt5_base_lr3e-05_bs4_ep3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dariast/mt5_base_lr3e-05_bs4_ep3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dariast/mt5_base_lr3e-05_bs4_ep3")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dariast/mt5_base_lr3e-05_bs4_ep3") model = AutoModelForTokenClassification.from_pretrained("dariast/mt5_base_lr3e-05_bs4_ep3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8f9c94c44ea6e0ad5156f97d86bc13248d735a546c9e6358550df1203a53f6d
- Size of remote file:
- 5.3 kB
- SHA256:
- 776cc27e4e7418b50835a96ef50f9094d4a2527d6f409749d71f501d7696052f
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