Text Classification
Transformers
Safetensors
English
nli
cross-encoder
qwen3.5
reranker
image-text-to-text
Instructions to use AlexWortega/openjev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexWortega/openjev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AlexWortega/openjev")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AlexWortega/openjev", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
29 days ago
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openjev v2: results, videos (Doom v2, Minecraft), code, card
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add code/webql_gemini_prompt.py
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add code/webql_fulldoc.py
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add code/webql_mlp.py
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add code/webql_scaffold.py
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add code/webql_bench.py
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add code/latent_mlp.py
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add code/radar35.py
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add openjev skill (how-to)
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update make_card.py
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zero-shot state-statement hypotheses: Flappy 28/28, Doom 11.0 kills
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zero-shot-first model card, zero-shot radar, pixel-input Doom demo
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model card, modeling module, code, results, videos, radar
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