Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use nlp04/sentiment_roberta_large_with_diary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlp04/sentiment_roberta_large_with_diary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nlp04/sentiment_roberta_large_with_diary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nlp04/sentiment_roberta_large_with_diary") model = AutoModelForSequenceClassification.from_pretrained("nlp04/sentiment_roberta_large_with_diary") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a5ad68289da9fdbbb4457ffb8edd4d8639d600a12f2cd0323fa2ba568ffac3d8
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size 1346723028
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