Instructions to use indiejoseph/bert-base-cantonese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use indiejoseph/bert-base-cantonese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="indiejoseph/bert-base-cantonese")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("indiejoseph/bert-base-cantonese") model = AutoModelForMaskedLM.from_pretrained("indiejoseph/bert-base-cantonese", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
-
Model save
b130793
-
Upload BertForMaskedLM
ebbbe22 -
Upload BertForMaskedLM
1b5ae69
-
Model save
e6baee5 -
Model save
8db5955 -
Training in progress, step 500
f805574
-
Model save
e583239 -
Training in progress, step 1000
2519625 -
Training in progress, step 500
c4d49d9 -
Model save
8876b51 -
Training in progress, step 3000
99a14fc -
Training in progress, step 2500
8ef5691 -
Training in progress, step 2000
33d81a2 -
Training in progress, step 1000
20e93db -
Training in progress, step 500
2faa264
-
End of training
ae8157c
-
Model save
74c55f8 -
Training in progress, step 7000
b59ea93 -
Training in progress, step 6500
0819c47 -
Training in progress, step 6000
f6e7762 -
Training in progress, step 5500
85cfc54 -
Model save
09a269e -
Training in progress, step 5000
d0281ca -
Training in progress, step 4500
5bdf6c9 -
Training in progress, step 4000
62ee850 -
Model save
6f26459 -
Training in progress, step 3000
f7a3100 -
Training in progress, step 2500
d950923 -
Training in progress, step 2000
7523a83 -
Training in progress, step 1500
9b46a8b -
Training in progress, step 1000
f00da30 -
Training in progress, step 500
ed39947