Text Classification
Transformers
Safetensors
English
qwen3_5
image-text-to-text
decision-model
classification
calibration
routing
guardrails
vision
multimodal
baseten
Eval Results
Instructions to use baselabs/joey-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baselabs/joey-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="baselabs/joey-1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("baselabs/joey-1") model = AutoModelForMultimodalLM.from_pretrained("baselabs/joey-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download constraints.txt from baselabs/joey-1: direct link, hf CLI and curl.
- Browser
- Download file 1.42 kB
-
https://huggingface.co/baselabs/joey-1/resolve/refs%2Fpr%2F1/constraints.txt
- Command line
-
hf download hf://baselabs/joey-1@refs/pr/1/constraints.txt
-
curl -L -o constraints.txt https://huggingface.co/baselabs/joey-1/resolve/refs%2Fpr%2F1/constraints.txt
1.42 kB
| # Pinned package versions of the training and eval stack, minus torch's own CUDA libraries, which follow the image. | |
| accelerate==1.15.0 | |
| annotated-doc==0.0.5 | |
| annotated-types==0.8.0 | |
| anyio==4.15.1 | |
| astunparse==1.6.3 | |
| brotli==1.2.0 | |
| causal-conv1d==1.7.0 | |
| click==8.5.0 | |
| cmake==4.0.0 | |
| dnspython==2.7.0 | |
| einops==0.8.2 | |
| expecttest==0.3.0 | |
| fastapi==0.143.1 | |
| fla-core==0.5.2 | |
| flash-linear-attention==0.5.2 | |
| fsspec==2025.3.2 | |
| googleapis-common-protos==1.75.5 | |
| h11==0.16.0 | |
| hf-xet==1.7.0 | |
| httpcore2==2.13.1 | |
| httpx2==2.13.1 | |
| huggingface_hub==2.2.0 | |
| hypothesis==6.131.7 | |
| idna==3.20 | |
| lintrunner==0.12.7 | |
| markdown-it-py==4.2.0 | |
| mdurl==0.1.2 | |
| mpmath==1.3.0 | |
| networkx==3.4.2 | |
| ninja==1.11.1.4 | |
| opentelemetry-api==1.45.1 | |
| opentelemetry-exporter-http-transport==0.66b1 | |
| opentelemetry-exporter-otlp-common==0.66b1 | |
| opentelemetry-exporter-otlp-proto-common==1.45.1 | |
| opentelemetry-exporter-otlp-proto-http==1.45.1 | |
| opentelemetry-proto==1.45.1 | |
| opentelemetry-sdk==1.45.1 | |
| opentelemetry-semantic-conventions==0.66b1 | |
| optree==0.15.0 | |
| peft==0.21.2 | |
| pillow==11.0.0 | |
| protobuf==7.36.2 | |
| pyarrow==26.0.0 | |
| pydantic==2.14.1 | |
| pydantic_core==2.50.1 | |
| python-etcd==0.4.5 | |
| regex==2026.9.29 | |
| rich==15.0.0 | |
| safetensors==0.8.0 | |
| shellingham==1.5.4 | |
| six==1.17.0 | |
| sortedcontainers==2.4.0 | |
| starlette==1.8.0 | |
| sympy==1.13.3 | |
| tokenizers==0.23.3 | |
| transformers==5.19.0 | |
| typer==0.27.3 | |
| types-dataclasses==0.6.6 | |
| typing-inspection==0.4.4 | |
| typing_extensions==4.16.0 | |
| uvicorn==0.54.0 | |
| wandb==0.30.0 | |
| xxhash==4.0.1 | |
| zstandard==0.23.0 | |