Instructions to use phunganhsang/multi_task_model_content_freeze_encoder_2048_8_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phunganhsang/multi_task_model_content_freeze_encoder_2048_8_v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, PhoBERTMultiTask tokenizer = AutoTokenizer.from_pretrained("phunganhsang/multi_task_model_content_freeze_encoder_2048_8_v2") model = PhoBERTMultiTask.from_pretrained("phunganhsang/multi_task_model_content_freeze_encoder_2048_8_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9aef98266e2cd84a5a0f08191fb902e4a03d582350a97c6bed26f6d18cc7fa50
- Size of remote file:
- 5.43 kB
- SHA256:
- 41e6521af3a1fd9312a06c79014491b9986d87976290233529b4e9fe846c3fce
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