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
Ctrl+K
- aynengine_web_ui_11
- checkpoints
- data
- engine
- epub_out
- scripts
- src
- stage11
- stage11_1
- stage11_2
- stage11_3
- stage12
- stage12_1
- stage12_2
- stage13_0
- stage13_1
- stage13_2
- stage13_3
- stage14_0
- stage14_1
- stage14_2
- stage14_3
- stage14_4
- stage14_5
- stage15_2
- 1.85 kB
- 13.3 kB
- 3.46 kB
- 4.17 kB
- 1.42 kB
- 214 Bytes
- 4.9 kB
- 3.44 GB xet
- 93 Bytes
- 41.3 kB
- 2.67 kB
- 104 kB
- 37.3 kB
- 51.5 kB
- 44.1 kB
- 2.74 kB
- 2.84 kB
- 3.11 kB
- 1.6 kB
- 1.62 kB
- 1.65 kB
- 1.7 kB
- 1.7 kB
- 1.62 kB
- 52.9 kB