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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bc0836b05d6b8bf8bbf09d755519d3b02c579f125b1fafb4b0c5ccad2eb6931
- Size of remote file:
- 268 MB
- SHA256:
- 3200c0bde1eabb15eb3b5ee5c663e67ee2f1808d102378b78cb9875a87f62dfe
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