Instructions to use shayonhuggingface/phobert-v2-mtl-sequence-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shayonhuggingface/phobert-v2-mtl-sequence-classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shayonhuggingface/phobert-v2-mtl-sequence-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e5721f51f107253396ba218181972ce96d231b3978b2d273cf1a388a6ef1a39
- Size of remote file:
- 540 MB
- SHA256:
- d51d4bc3711a37e458d7027421fc2e9c73e57350bd231a817afe26d24dc5cf67
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