Text Classification
Transformers
Safetensors
modernbert
agent-safety
tool-calling
long-context
distillation
Eval Results (legacy)
text-embeddings-inference
Instructions to use ProCreations/auto-0.4b-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProCreations/auto-0.4b-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ProCreations/auto-0.4b-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ProCreations/auto-0.4b-2") model = AutoModelForSequenceClassification.from_pretrained("ProCreations/auto-0.4b-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- monitor
- 268 Bytes
- 42 kB xet
- 268 Bytes
- 48.5 kB xet
- 142 Bytes
- 268 Bytes
- 41.8 kB xet
- 1.41 MB
- 32 kB
- 48.5 kB xet
- 1.41 MB
- 32 kB
- 254 Bytes
- 268 Bytes
- 42 kB xet
- 268 Bytes
- 48.5 kB xet
- 141 Bytes
- 268 Bytes
- 41.8 kB xet
- 268 Bytes
- 42 kB xet
- 268 Bytes
- 48.5 kB xet
- 128 Bytes
- 268 Bytes
- 41.8 kB xet
- 268 Bytes
- 42 kB xet
- 268 Bytes
- 48.5 kB xet
- 141 Bytes
- 268 Bytes
- 41.8 kB xet
- 2.26 kB
- 2.27 kB
- 764 Bytes
- 2.28 kB
- 21.9 kB
- 14.3 kB
- 268 Bytes
- 42 kB xet
- 268 Bytes
- 48.5 kB xet
- 141 Bytes
- 268 Bytes
- 41.8 kB xet
- 268 Bytes
- 42 kB xet