Text Classification
Transformers
Safetensors
English
modernbert
agent-safety
tool-calling
guardrails
long-context
Eval Results (legacy)
text-embeddings-inference
Instructions to use ProCreations/auto-1b-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProCreations/auto-1b-bf16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ProCreations/auto-1b-bf16")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ProCreations/auto-1b-bf16") model = AutoModelForSequenceClassification.from_pretrained("ProCreations/auto-1b-bf16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e145d9d2b4e2c796c5f32b2e2463a8526460539da060541c2e8d39ee5f2a8644
- Size of remote file:
- 2.06 GB
- SHA256:
- c33a28903dbe2848d72c0784a6447c90251827c43c1ae62eb82f93b68c6a0b04
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