Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use aXhyra/sentiment_trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aXhyra/sentiment_trained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aXhyra/sentiment_trained")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aXhyra/sentiment_trained") model = AutoModelForSequenceClassification.from_pretrained("aXhyra/sentiment_trained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aXhyra/sentiment_trained: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/aXhyra/sentiment_trained/resolve/main/training_args.bin
- Command line
-
hf download hf://aXhyra/sentiment_trained/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aXhyra/sentiment_trained/resolve/main/training_args.bin
2.86 kB
- Xet hash:
- 87d0403a56a45976e2a000d8978fb9dc91a9c2d27c20ce95c8a11751ba9c159d
- Size of remote file:
- 2.86 kB
- SHA256:
- d31054ac645a560bf1bbeee0c25a9efbfcf9b5b82e76bb8672a15a20d117e75f
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