Instructions to use kktoto/tiny_lr_kk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kktoto/tiny_lr_kk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kktoto/tiny_lr_kk")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kktoto/tiny_lr_kk") model = AutoModelForTokenClassification.from_pretrained("kktoto/tiny_lr_kk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 16500
60c5fb9 -
Training in progress, step 15500
d94e6f9 -
Training in progress, step 14500
937074b -
Training in progress, step 13500
551591c -
Training in progress, step 12500
bd65fa4 -
Training in progress, step 11500
b80ed53 -
Training in progress, step 11000
f8faa7f -
Training in progress, step 10000
c5b8da6 -
Training in progress, step 9000
972cec0 -
Training in progress, step 8000
f901e8a -
Training in progress, step 7000
a8f5e7f -
Training in progress, step 6000
329f9e5 -
Training in progress, step 5500
48c7f7d -
Training in progress, step 4500
e1658c9 -
Training in progress, step 3500
b313aeb -
Training in progress, step 2500
e5feba5 -
Training in progress, step 1500
8a39b4d -
Training in progress, step 500
1697c21