Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use S2312dal/M6_MLM_cross with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use S2312dal/M6_MLM_cross with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="S2312dal/M6_MLM_cross")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("S2312dal/M6_MLM_cross") model = AutoModelForSequenceClassification.from_pretrained("S2312dal/M6_MLM_cross") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 877cb492ff9aa347194d330e982cc30d64d22e6452aef28c3fa3b3f2e81704dd
- Size of remote file:
- 3.31 kB
- SHA256:
- 44ef59150e7b7b0ded9b3cf63fbfba53904a300957a4996c6871521ecbdbc093
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