Text Classification
Transformers
Safetensors
smollm3
agent-safety
tool-calling
guardrail
long-context
Eval Results (legacy)
Instructions to use ProCreations/auto-3b-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProCreations/auto-3b-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ProCreations/auto-3b-3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ProCreations/auto-3b-3") model = AutoModelForSequenceClassification.from_pretrained("ProCreations/auto-3b-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from ProCreations/auto-3b-3: direct link, hf CLI and curl.
- Browser
- Download file 357 Bytes
-
https://huggingface.co/ProCreations/auto-3b-3/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://ProCreations/auto-3b-3/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/ProCreations/auto-3b-3/resolve/main/tokenizer_config.json
357 Bytes
| { | |
| "backend": "tokenizers", | |
| "bos_token": null, | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|end_of_text|>", | |
| "is_local": true, | |
| "local_files_only": false, | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "model_max_length": 65536, | |
| "pad_token": "<|finetune_right_pad_id|>", | |
| "tokenizer_class": "TokenizersBackend" | |
| } | |