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")# pip install -U transformers accelerate # 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 artifact_hashes.json from ProCreations/auto-0.4b-2: direct link, hf CLI and curl.
- Browser
- Download file 1.38 kB
-
https://huggingface.co/ProCreations/auto-0.4b-2/resolve/456e153dad2b12db14babb1dbdc8f8ece607e80a/artifact_hashes.json
- Command line
-
hf download hf://ProCreations/auto-0.4b-2@456e153dad2b12db14babb1dbdc8f8ece607e80a/artifact_hashes.json
-
curl -L -o artifact_hashes.json https://huggingface.co/ProCreations/auto-0.4b-2/resolve/456e153dad2b12db14babb1dbdc8f8ece607e80a/artifact_hashes.json
1.38 kB
| { | |
| "eval_results.json": "a36265caec9cea379d871df009b0841bfc81983f790a9781ce47f79d9579c9ee", | |
| "README.md": "a1b9100549c0ffdfc92d87812859a90f5617e9e4f6cc9f021b45f1f327835542", | |
| "config.json": "d6f114a76d668e44b2720fd8d8a8e48d42a9ee969b0b174d391912008a14f9ec", | |
| "environment.json": "de9a91afa9816139ab20e489fc3a7ca3887324d8a2b8291d5ceca5fd8d53fe95", | |
| "data_audit.json": "659d61976ceee6241d66612b452693a2d4af5eeeaf870dd95e4521e57a21d839", | |
| "benchmark_predictions.npz": "5ef6fed2fb1faae86c25b9290b65ce50204249a778b48510e7e8b7536c8783e8", | |
| "model.safetensors": "10a27866e72a8fd7af878eb3d41e68f2de8e0f025cc20e55ef531554d1abc626", | |
| "tokenizer.json": "abf58f8fa056b6f6c5bb0b667af9dd5893bfe96022f8981d6daa7571fdbc830c", | |
| "tokenizer_config.json": "f0fcf16a9b5a657f9441b1fe7d66a0060c1151c645cf8e44d26aca5697f5c7ca", | |
| "gate.py": "ae657066ddcaaf7065e21327a216d78c34f8cf6871e30083d79432b531f4c690", | |
| "source_revisions.json": "e574b8bc8d025c33bbb2f1d564e8abb3247bb23c04bcd6b73d58c0c099fbce85", | |
| "training_plan.json": "3a87e7c6b1e7534fdf35ef903f9f07225ce9bb10696bd6d5f953b5b7a8d8d25d", | |
| "eval/tool_probes.json": "7a61eb2a7744609b7df332225eed5af17a232d77817ae714b9ce620dcc57defb", | |
| "eval/tool_probe_results.json": "1a05d48db2744e084a69c0d2cabdc8bb1016fc6755add19b635ab3cbf24033cf", | |
| "eval/run_tool_probes.py": "59a71fbd66e84a5bbc5175d11d77bb068d772af54b6d1ee1588f32ff94e3525a" | |
| } | |