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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#9
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d5fa281125ecb310989edf7edc31b438e85da24b597f78bdb9cbcf5f341a3702
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size 5802698512
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