Instructions to use rithwik-db/finetuning-sentiment-model-300-gpu-9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rithwik-db/finetuning-sentiment-model-300-gpu-9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rithwik-db/finetuning-sentiment-model-300-gpu-9")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rithwik-db/finetuning-sentiment-model-300-gpu-9") model = AutoModelForSequenceClassification.from_pretrained("rithwik-db/finetuning-sentiment-model-300-gpu-9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64cef565c0e72edc4d813eb90cf31a5fb5b2538a10f5f17b620f7bb91b0b7972
- Size of remote file:
- 268 MB
- SHA256:
- f4221941772fd56427589c2c6ade3703aabaa7154bbffa92db893d8f6fdb8249
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