Instructions to use kktoto/tiny_focal_v2_label with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kktoto/tiny_focal_v2_label with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kktoto/tiny_focal_v2_label")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kktoto/tiny_focal_v2_label") model = AutoModelForTokenClassification.from_pretrained("kktoto/tiny_focal_v2_label", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 33500
Browse files
pytorch_model.bin
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runs/Jun22_03-24-18_cf40fe12db82/events.out.tfevents.1655868386.cf40fe12db82.85.0
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