Instructions to use phunganhsang/XLM_Lexical_CITA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phunganhsang/XLM_Lexical_CITA with Transformers:
# Load model directly from transformers import AutoTokenizer, XLMLexical tokenizer = AutoTokenizer.from_pretrained("phunganhsang/XLM_Lexical_CITA") model = XLMLexical.from_pretrained("phunganhsang/XLM_Lexical_CITA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7edfeaf380932193705dd2f7346b821f25461e8334f0a915c75d0f44ddd01c26
- Size of remote file:
- 5.3 kB
- SHA256:
- 90e7f758667d4f1d509db6120ac7fed548c2da80de556587213edaf5808c098a
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