Text Classification
Transformers
TensorBoard
Safetensors
Turkish
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Accelera/finetuning_sentiment_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Accelera/finetuning_sentiment_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Accelera/finetuning_sentiment_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Accelera/finetuning_sentiment_model") model = AutoModelForSequenceClassification.from_pretrained("Accelera/finetuning_sentiment_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Accelera/finetuning_sentiment_model: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/Accelera/finetuning_sentiment_model/resolve/main/training_args.bin
- Command line
-
hf download hf://Accelera/finetuning_sentiment_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Accelera/finetuning_sentiment_model/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- c80a16ef32e1d846bea694fa85e4b975bbdb7b0e51784ac36edf375f3b031aed
- Size of remote file:
- 4.6 kB
- SHA256:
- e7a91419abf7bb020caeb9a21ca1faff8121a8058dee7d37a44e1b60756d2214
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