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 pytorch_model.bin from coderSounak/finetuning-sentiment-model-v1: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/coderSounak/finetuning-sentiment-model-v1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://coderSounak/finetuning-sentiment-model-v1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/coderSounak/finetuning-sentiment-model-v1/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 884387be10ba5aaceb56942dc73b5d2bc79f2cc092344970a2269c54580d804e
- Size of remote file:
- 499 MB
- SHA256:
- e9917c83de30c397df6d8e9abb47188c0569213c95da03cc6d1d95cf67bf71d2
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