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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
465282b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:bcd4519dc321d6bdb7e40fda326ab6dc1dd7d65fb1bdb04d0f7d0b01e0f7724e
size 3055
|