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
File size: 357 Bytes
ffc6e7b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"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"
}
|