Instructions to use D4ve-R/stablelm-2-1_6b-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use D4ve-R/stablelm-2-1_6b-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="D4ve-R/stablelm-2-1_6b-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("D4ve-R/stablelm-2-1_6b-sentiment") model = AutoModelForSequenceClassification.from_pretrained("D4ve-R/stablelm-2-1_6b-sentiment") - Notebooks
- Google Colab
- Kaggle
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## Model Details
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***Model is untrained!*** Pretrained [stablelm-2-1_6b](https://huggingface.co/stabilityai/stablelm-2-1_6b) with a linear head for sequence classification.
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## Model Details
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