Text Classification
Transformers
PyTorch
Safetensors
English
roberta
sagemaker
roberta-base
text classification
Eval Results (legacy)
text-embeddings-inference
Instructions to use Jorgeutd/sagemaker-roberta-base-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jorgeutd/sagemaker-roberta-base-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jorgeutd/sagemaker-roberta-base-emotion")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jorgeutd/sagemaker-roberta-base-emotion") model = AutoModelForSequenceClassification.from_pretrained("Jorgeutd/sagemaker-roberta-base-emotion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Jorgeutd/sagemaker-roberta-base-emotion: direct link, hf CLI and curl.
- Browser
- Download file 1.36 MB
-
https://huggingface.co/Jorgeutd/sagemaker-roberta-base-emotion/resolve/main/tokenizer.json
- Command line
-
hf download hf://Jorgeutd/sagemaker-roberta-base-emotion/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Jorgeutd/sagemaker-roberta-base-emotion/resolve/main/tokenizer.json
1.36 MB
File too large to display, you can check the raw version instead.