Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use mongrz/sentiment_class6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mongrz/sentiment_class6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mongrz/sentiment_class6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mongrz/sentiment_class6") model = AutoModelForSequenceClassification.from_pretrained("mongrz/sentiment_class6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 421328b7be070a581433713d4d5c47ff04ed12b4bf2b177d8a56bd934a457c5f
- Size of remote file:
- 5.24 kB
- SHA256:
- 3781621dd15171762d531d7e4dfc11284cc85ec6edcdf7e1bcef624547042d54
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