Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use coderSounak/finetuning-sentiment-model-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coderSounak/finetuning-sentiment-model-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="coderSounak/finetuning-sentiment-model-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("coderSounak/finetuning-sentiment-model-v1") model = AutoModelForSequenceClassification.from_pretrained("coderSounak/finetuning-sentiment-model-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from coderSounak/finetuning-sentiment-model-v1: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/coderSounak/finetuning-sentiment-model-v1/resolve/main/training_args.bin
- Command line
-
hf download hf://coderSounak/finetuning-sentiment-model-v1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/coderSounak/finetuning-sentiment-model-v1/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- 059bbbac483f581afdb8db16d7e14d58d867a65b1e39012baceb00b3af3d440e
- Size of remote file:
- 3.44 kB
- SHA256:
- 8fdf34895fe11e955f3b21808ffd07ce5173669bd1d53cb479b6cc5e596b33c9
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