Translation
Transformers
Safetensors
Arabic
English
qwen3
text-generation
arabic
classical-arabic
rootformer
bpe-free
morphology
qwen3.5
qwen3.8-27b
speculative-decoding
gated-deltanet
islamic-philosophy
kalam
usul-al-fiqh
text-generation-inference
Instructions to use enver/rootformers_stage_v15.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enver/rootformers_stage_v15.2 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="enver/rootformers_stage_v15.2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("enver/rootformers_stage_v15.2") model = AutoModelForCausalLM.from_pretrained("enver/rootformers_stage_v15.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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