Text Classification
Transformers
PyTorch
English
bert
financial-sentiment-analysis
sentiment-analysis
text-embeddings-inference
Instructions to use philschmid/finbert-tone-endpoint-ds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/finbert-tone-endpoint-ds with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="philschmid/finbert-tone-endpoint-ds")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("philschmid/finbert-tone-endpoint-ds") model = AutoModelForSequenceClassification.from_pretrained("philschmid/finbert-tone-endpoint-ds", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
10fb2d5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f31c2036e91c9854bcc35141d16669dd07b9726adfe391d1011bff1de7ea4b32
size 439101405
|