Instructions to use SMG0/Model3_Marabertv2_T1_WS_A100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SMG0/Model3_Marabertv2_T1_WS_A100 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SMG0/Model3_Marabertv2_T1_WS_A100")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SMG0/Model3_Marabertv2_T1_WS_A100") model = AutoModelForSequenceClassification.from_pretrained("SMG0/Model3_Marabertv2_T1_WS_A100") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa9a2ffc9e34a752d889b71faf8085e19ddb84118058058e59968bba90012999
- Size of remote file:
- 3.96 kB
- SHA256:
- 17a01fe9a784996659a6e93eb10f78f0d9d7ba71a5acdb110a5a7a28dfb0acdc
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