Text Classification
Transformers
Safetensors
English
bert
financial-sentiment
sentiment-analysis
finance
nlp
Eval Results (legacy)
text-embeddings-inference
Instructions to use codealchemist01/financial-sentiment-improved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codealchemist01/financial-sentiment-improved with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="codealchemist01/financial-sentiment-improved")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("codealchemist01/financial-sentiment-improved") model = AutoModelForSequenceClassification.from_pretrained("codealchemist01/financial-sentiment-improved", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from codealchemist01/financial-sentiment-improved: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/codealchemist01/financial-sentiment-improved/resolve/main/training_args.bin
- Command line
-
hf download hf://codealchemist01/financial-sentiment-improved/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/codealchemist01/financial-sentiment-improved/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- 0bdcdc93b55ce3de1e4a8ea16b3bc722b8555dc2b5ad032ef834e58ac9897904
- Size of remote file:
- 5.84 kB
- SHA256:
- 3cb2ecd9bb017dca59b8123a0bc341b04a5a2fec62dea1faccf98aad898c9162
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