Instructions to use datleviet/ComOM-VIDeBERTa-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datleviet/ComOM-VIDeBERTa-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="datleviet/ComOM-VIDeBERTa-3")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("datleviet/ComOM-VIDeBERTa-3") model = AutoModelForTokenClassification.from_pretrained("datleviet/ComOM-VIDeBERTa-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b9962c5e083d89f3e4ee600b7376091813a9e78fe9262b3307ab889dd244f33
- Size of remote file:
- 4.16 kB
- SHA256:
- 6e442ce65888d291121117ab003b15b6c5214cd9099d69fbec20862206f5896d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.