
The distilled version of the 'airesearch/wangchanberta-base-att-spm-uncased'.  This is the 62M params model trained with Assorted Thai Texts (4.8 GB) used for WangchanBERTa pre-training.

*pls use the tokenizer from the 'airesearch/wangchanberta-base-att-spm-uncased'*
{"language": ["en", "th"], "license": "apache-2.0", "library_name": "transformers", "tags": ["code"], "pipeline_tag": "fill-mask"}
transformers pytorch camembert fill-mask code en th license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #camembert #fill-mask #code #en #th #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 


The distilled version of the 'airesearch/wangchanberta-base-att-spm-uncased'.  This is the 62M params model trained with Assorted Thai Texts (4.8 GB) used for WangchanBERTa pre-training.

*pls use the tokenizer from the 'airesearch/wangchanberta-base-att-spm-uncased'*
TAGS
#transformers #pytorch #camembert #fill-mask #code #en #th #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
