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
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "</s>", | |
| "model_max_length": 800, | |
| "pad_token": "<pad>", | |
| "padding_side": "left", | |
| "tokenizer_class": "BloomTokenizer", | |
| "unk_token": "<unk>" | |
| } | |