Text Classification
Transformers
Safetensors
qwen3
trackio
Generated from Trainer
text-embeddings-inference
Instructions to use akseljoonas/f2llm-sentiment-ablation-E with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akseljoonas/f2llm-sentiment-ablation-E with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="akseljoonas/f2llm-sentiment-ablation-E")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("akseljoonas/f2llm-sentiment-ablation-E") model = AutoModelForSequenceClassification.from_pretrained("akseljoonas/f2llm-sentiment-ablation-E") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed2564601d0986b0cd57b61e782c4433b9a25b3fe510c01db44c2bf9fba74f3e
- Size of remote file:
- 5.33 kB
- SHA256:
- c6f4be84a004fb8dfd28056de444c32f8a342c5c019d4746069ad94062b2550d
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