Text Classification
Transformers
PyTorch
TensorBoard
English
roberta
financial-sentiment-analysis
sentiment-analysis
sentence_50agree
Generated from Trainer
sentiment
finance
Eval Results (legacy)
text-embeddings-inference
Instructions to use nickmuchi/distilroberta-finetuned-financial-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nickmuchi/distilroberta-finetuned-financial-text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nickmuchi/distilroberta-finetuned-financial-text-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nickmuchi/distilroberta-finetuned-financial-text-classification") model = AutoModelForSequenceClassification.from_pretrained("nickmuchi/distilroberta-finetuned-financial-text-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nickmuchi/distilroberta-finetuned-financial-text-classification: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/nickmuchi/distilroberta-finetuned-financial-text-classification/resolve/main/training_args.bin
- Command line
-
hf download hf://nickmuchi/distilroberta-finetuned-financial-text-classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nickmuchi/distilroberta-finetuned-financial-text-classification/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- a80aea391c3997ea34b59e959230f7471e35ab10229a97cc179ea70de48c37ff
- Size of remote file:
- 2.99 kB
- SHA256:
- a175420304e2551c17e7b215377aea73147f6e948eae0c9c31e403430038bcc1
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