Instructions to use EthanChen0418/task2_macbert_multi_class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EthanChen0418/task2_macbert_multi_class with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForTask2MultiClass tokenizer = AutoTokenizer.from_pretrained("EthanChen0418/task2_macbert_multi_class") model = BertForTask2MultiClass.from_pretrained("EthanChen0418/task2_macbert_multi_class", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdca656823dc287fc99fd2bed87be05e6607bf397c603513fcc7b17b292197c1
- Size of remote file:
- 409 MB
- SHA256:
- a392f2d04e7907ce0ff95bec0a7fa52f1611dd626b6fb648e90c96838ac28957
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