Text Generation
MLX
Safetensors
progen
progen2
protein-language-model
mlx-lm
bfloat16
icl-many-replication
custom_code
Instructions to use N8Programs/ProGen2-base-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use N8Programs/ProGen2-base-bf16 with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("N8Programs/ProGen2-base-bf16") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use N8Programs/ProGen2-base-bf16 with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "N8Programs/ProGen2-base-bf16" --prompt "Once upon a time"
- Xet hash:
- 3e2a1008ddd379bdf684cf1c96a3cd45a774890b0e4d7d2f291fdfae82c8c299
- Size of remote file:
- 1.53 GB
- SHA256:
- bc2ee1fe37ec29e2371b37ba9f06ab468cce7e30d6d8b3eb0b99a9fee8d23ccb
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