Text Classification
Transformers
Safetensors
English
distilbert
financial-sentiment
sentiment-analysis
finance
nlp
Eval Results (legacy)
text-embeddings-inference
Instructions to use codealchemist01/financial-sentiment-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codealchemist01/financial-sentiment-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="codealchemist01/financial-sentiment-distilbert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("codealchemist01/financial-sentiment-distilbert") model = AutoModelForSequenceClassification.from_pretrained("codealchemist01/financial-sentiment-distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from codealchemist01/financial-sentiment-distilbert: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/codealchemist01/financial-sentiment-distilbert/resolve/main/model.safetensors
- Command line
-
hf download hf://codealchemist01/financial-sentiment-distilbert/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/codealchemist01/financial-sentiment-distilbert/resolve/main/model.safetensors
268 MB
- Xet hash:
- 62b837278e62e28486ad52d0f9e076ccb5b848951863ee14f76cf50f9f258a82
- Size of remote file:
- 268 MB
- SHA256:
- 95f41ba40156784461df3231f48e24639fa85aac5adf33547e75eaa74a303370
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