Instructions to use airesearch/wangchanberta-base-att-spm-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use airesearch/wangchanberta-base-att-spm-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="airesearch/wangchanberta-base-att-spm-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("airesearch/wangchanberta-base-att-spm-uncased") model = AutoModelForMaskedLM.from_pretrained("airesearch/wangchanberta-base-att-spm-uncased") - Inference
- Notebooks
- Google Colab
- Kaggle
Add fast tokenizer
#5 opened over 1 year ago
by
vtno
Can Upload My own dataset
1
#4 opened over 2 years ago
by
thunis
Add model_max_length to tokenizer config (ref: issue #1)
#3 opened about 3 years ago
by
lalital
tokenizer_max_length not set
#1 opened almost 4 years ago
by
AngledLuffa