Text Classification
Transformers
Safetensors
modernbert
agent-safety
tool-calling
long-context
distillation
Eval Results (legacy)
text-embeddings-inference
Instructions to use ProCreations/auto-200m-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProCreations/auto-200m-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ProCreations/auto-200m-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ProCreations/auto-200m-2") model = AutoModelForSequenceClassification.from_pretrained("ProCreations/auto-200m-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download data_audit.json from ProCreations/auto-200m-2: direct link, hf CLI and curl.
- Browser
- Download file 1.84 kB
-
https://huggingface.co/ProCreations/auto-200m-2/resolve/main/data_audit.json
- Command line
-
hf download hf://ProCreations/auto-200m-2/data_audit.json
-
curl -L -o data_audit.json https://huggingface.co/ProCreations/auto-200m-2/resolve/main/data_audit.json
1.84 kB
| { | |
| "removed_train": { | |
| "heldout_group": 14, | |
| "duplicate": 1 | |
| }, | |
| "removed_validation": {}, | |
| "removed_augmented": {}, | |
| "alignment_sha256": "07c9c285026dfcc95c15c6454498b265138e36875c31ee3ad76b42a22d6049bd", | |
| "no_truncation": true, | |
| "teacher_target_split": "train only", | |
| "teacher_weights_sha256": "314b5711a812b67b8e01568e3605ca5eda94464ef8a5d72f5061c066b7b598e8", | |
| "teacher_logits_sha256": "f78ba4870ad1dd79e669f71b6da238e3f35257c0175450b0ee70957ca89f0cce", | |
| "teacher_train_agreement": 0.997955013097186, | |
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