Text Classification
Transformers
Safetensors
English
modernbert
enterprise-ai
agentic-ai
system-1
system-2
action-ranking
action-selection
tool-selection
dynamic-actions
selective-prediction
abstention
no-action
enterprise-agents
workflow-routing
decision-model
text-embeddings-inference
Instructions to use yasserrmd/enterprise-reflex-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yasserrmd/enterprise-reflex-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yasserrmd/enterprise-reflex-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yasserrmd/enterprise-reflex-v1") model = AutoModelForSequenceClassification.from_pretrained("yasserrmd/enterprise-reflex-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from yasserrmd/enterprise-reflex-v1: direct link, hf CLI and curl.
- Browser
- Download file 598 MB
-
https://huggingface.co/yasserrmd/enterprise-reflex-v1/resolve/80dffdddf3c1a17fc20491cdc0e5a54ec730d5ae/model.safetensors
- Command line
-
hf download hf://yasserrmd/enterprise-reflex-v1@80dffdddf3c1a17fc20491cdc0e5a54ec730d5ae/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/yasserrmd/enterprise-reflex-v1/resolve/80dffdddf3c1a17fc20491cdc0e5a54ec730d5ae/model.safetensors
598 MB
- Xet hash:
- 7da92f61565779a3149aad98478dbb59f1689a53d6a98d0cca3a5c0bea541d2a
- Size of remote file:
- 598 MB
- SHA256:
- 49db8af0a5762b89f6fc52ce115ef671fe80ece3c42dcb464179fdd6b5418619
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