Text Classification
Transformers
PyTorch
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use duwuonline/mymodel-classify-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use duwuonline/mymodel-classify-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="duwuonline/mymodel-classify-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("duwuonline/mymodel-classify-sentiment") model = AutoModelForSequenceClassification.from_pretrained("duwuonline/mymodel-classify-sentiment") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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oid sha256:55abc202aa9a1f5dd31f063d04bb3518defa46b2b4762c11f428c4bace3174a6
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size 1112208084
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