Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use itsmeandy/fin_sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itsmeandy/fin_sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="itsmeandy/fin_sentiment")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("itsmeandy/fin_sentiment") model = AutoModelForSequenceClassification.from_pretrained("itsmeandy/fin_sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from itsmeandy/fin_sentiment: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/itsmeandy/fin_sentiment/resolve/main/training_args.bin
- Command line
-
hf download hf://itsmeandy/fin_sentiment/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/itsmeandy/fin_sentiment/resolve/main/training_args.bin
3.52 kB
- Xet hash:
- 5d34d505c7d66c6f126c9cf5305703dc0ee7c73a40fddde03403cf15281eb1b8
- Size of remote file:
- 3.52 kB
- SHA256:
- b9912adb482d3c207509da50fc4b66b11ee208fd6099e9686c7884f9d368bcb5
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