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
Download environment.json from ProCreations/auto-0.4b-2: direct link, hf CLI and curl.
- Browser
- Download file 201 Bytes
-
https://huggingface.co/ProCreations/auto-0.4b-2/resolve/dc3afeb3d37b78aef751a894db69183ab36d7c07/environment.json
- Command line
-
hf download hf://ProCreations/auto-0.4b-2@dc3afeb3d37b78aef751a894db69183ab36d7c07/environment.json
-
curl -L -o environment.json https://huggingface.co/ProCreations/auto-0.4b-2/resolve/dc3afeb3d37b78aef751a894db69183ab36d7c07/environment.json
201 Bytes
| { | |
| "torch": "2.13.0", | |
| "transformers": "5.16.1", | |
| "datasets": "5.0.1", | |
| "huggingface_hub": "1.30.0", | |
| "kernels": "0.16.1", | |
| "accelerate": "1.14.0", | |
| "numpy": "2.5.2", | |
| "scikit-learn": "1.9.0" | |
| } |