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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("codealchemist01/financial-sentiment-improved") model = AutoModelForSequenceClassification.from_pretrained("codealchemist01/financial-sentiment-improved") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
345d0ac | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3cb2ecd9bb017dca59b8123a0bc341b04a5a2fec62dea1faccf98aad898c9162
size 5841
|