Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ScandinavianMrT/distilbert-SARC_withcontext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ScandinavianMrT/distilbert-SARC_withcontext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ScandinavianMrT/distilbert-SARC_withcontext")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ScandinavianMrT/distilbert-SARC_withcontext") model = AutoModelForSequenceClassification.from_pretrained("ScandinavianMrT/distilbert-SARC_withcontext") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 076ce4f9130a4f066100977f194758fc4e78de641ed467c339dc2f24f3c4fa7a
- Size of remote file:
- 3.06 kB
- SHA256:
- bcd4519dc321d6bdb7e40fda326ab6dc1dd7d65fb1bdb04d0f7d0b01e0f7724e
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