Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Falah/sentiments-dataset-381-classes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falah/sentiments-dataset-381-classes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Falah/sentiments-dataset-381-classes")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Falah/sentiments-dataset-381-classes") model = AutoModelForSequenceClassification.from_pretrained("Falah/sentiments-dataset-381-classes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Falah/sentiments-dataset-381-classes: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/Falah/sentiments-dataset-381-classes/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://Falah/sentiments-dataset-381-classes@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Falah/sentiments-dataset-381-classes/resolve/refs%2Fpr%2F1/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.