Translation
Transformers
PyTorch
Safetensors
Chinese
English
bloom
text-generation
gpt-style
chinese
english
text-generation-inference
Instructions to use nullday/immersiveL-exp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nullday/immersiveL-exp 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="nullday/immersiveL-exp")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("nullday/immersiveL-exp") model = AutoModelForCausalLM.from_pretrained("nullday/immersiveL-exp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 942ed92e3d9ce542159e2b488ae8c78467121b70b51683846f9a481d1d226ba3
- Size of remote file:
- 5.8 GB
- SHA256:
- c6f8a8e8476d2dab3966aac90d62157d9c53cbdd44070a7e03639629a54506ca
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