Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ayu1003/fin_sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayu1003/fin_sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ayu1003/fin_sentiment")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ayu1003/fin_sentiment") model = AutoModelForSequenceClassification.from_pretrained("ayu1003/fin_sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ayu1003/fin_sentiment: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/ayu1003/fin_sentiment/resolve/main/tokenizer.json
- Command line
-
hf download hf://ayu1003/fin_sentiment/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ayu1003/fin_sentiment/resolve/main/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.