Instructions to use LinYuting/bert-base-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LinYuting/bert-base-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="LinYuting/bert-base-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("LinYuting/bert-base-ner") model = AutoModelForTokenClassification.from_pretrained("LinYuting/bert-base-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress epoch 2
fea7db5 -
Training in progress epoch 1
de2c2ec -
Training in progress epoch 0
ec2b551
-
Training in progress epoch 2
48d8f46 -
Training in progress epoch 1
000e988 -
Training in progress epoch 0
f25dbf5 -
Training in progress epoch 2
7787c03 -
Training in progress epoch 1
5da4adc -
Training in progress epoch 0
97c9ebb -
Training in progress epoch 2
2768be2 -
Training in progress epoch 1
3693055 -
Training in progress epoch 0
1e4b888 -
Training in progress epoch 2
7d500c7 -
Training in progress epoch 1
a580040 -
Training in progress epoch 0
4ea1af6
-
Training in progress epoch 2
e5c9f59 -
Training in progress epoch 1
a4329f8 -
Training in progress epoch 0
36c064d -
initial commit
f37efc1