Translation
Transformers
PyTorch
Safetensors
Chinese
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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") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer.json (#4)
Browse files- Upload tokenizer.json (c273134f33881fd7d5a9b2c2bc458c719493cb3c)
Co-authored-by: TimVan <TimVan1@users.noreply.huggingface.co>
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