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 eval/iteration-1/kd_b_aug-step-1737-benchmark.meta.json from ProCreations/auto-0.4b-2: direct link, hf CLI and curl.
- Browser
- Download file 268 Bytes
-
https://huggingface.co/ProCreations/auto-0.4b-2/resolve/main/eval/iteration-1/kd_b_aug-step-1737-benchmark.meta.json
- Command line
-
hf download hf://ProCreations/auto-0.4b-2/eval/iteration-1/kd_b_aug-step-1737-benchmark.meta.json
-
curl -L -o kd_b_aug-step-1737-benchmark.meta.json https://huggingface.co/ProCreations/auto-0.4b-2/resolve/main/eval/iteration-1/kd_b_aug-step-1737-benchmark.meta.json
268 Bytes
| { | |
| "model_sha256": "bca2d2614055c7dc43d6d9f059446691c343b5bf0ca5271cfe6f29f507cc201d", | |
| "data_audit_sha256": "eb07b359a4fe2a75bb7e89a9315322a634d42537a2c3d15c29f5f3d42c31c8cf", | |
| "indices_sha256": "e8c9ceaf5aacc63c25b4cdd8542592f9d58aff50e3e8fc6c55591d3d8f596562" | |
| } | |