Text Classification
Transformers
Safetensors
English
stencil_sentence_classifier
conversation-memory
instruction-following
sentence-classification
bge
custom_code
Eval Results (legacy)
Instructions to use bmarti44/assistant-memory-sentence-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bmarti44/assistant-memory-sentence-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bmarti44/assistant-memory-sentence-classifier", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("bmarti44/assistant-memory-sentence-classifier", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from bmarti44/assistant-memory-sentence-classifier: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
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https://huggingface.co/bmarti44/assistant-memory-sentence-classifier/resolve/main/tokenizer.json
- Command line
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hf download hf://bmarti44/assistant-memory-sentence-classifier/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/bmarti44/assistant-memory-sentence-classifier/resolve/main/tokenizer.json
712 kB
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