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