Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Sharpaxis/Finance_DistilBERT_sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sharpaxis/Finance_DistilBERT_sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sharpaxis/Finance_DistilBERT_sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sharpaxis/Finance_DistilBERT_sentiment") model = AutoModelForSequenceClassification.from_pretrained("Sharpaxis/Finance_DistilBERT_sentiment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf86381a926877d84e58fcd7142fae3e05ae9860dd378475644dd29784f68ec5
- Size of remote file:
- 5.3 kB
- SHA256:
- ce6ff13bff9b18eb8155067e4d739fb50a30368fc947a52aff73c1899dca3f84
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