Text Classification
Transformers
Safetensors
English
modernbert
agent-safety
tool-calling
guardrails
long-context
Eval Results (legacy)
text-embeddings-inference
Instructions to use ProCreations/auto-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProCreations/auto-1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ProCreations/auto-1b")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ProCreations/auto-1b") model = AutoModelForSequenceClassification.from_pretrained("ProCreations/auto-1b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 398b5664180f72cb630332108287a83d24e91e98520992a3d0c828f658ddcedd
- Size of remote file:
- 134 MB
- SHA256:
- 5d72cf6c9d66dbf3fd5744c61eb55830308b5c40e3c52b3fe8bdd9382e8e3e86
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