Instructions to use Lifan-Z/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lifan-Z/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Lifan-Z/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Lifan-Z/dummy-model") model = AutoModelForMaskedLM.from_pretrained("Lifan-Z/dummy-model") - Notebooks
- Google Colab
- Kaggle
| --- | |
| license: apache-2.0 | |
| language: | |
| - en | |
| --- | |
| ``` | |
| import transformers | |
| import gradio as gr | |
| from transformers import pipeline | |
| gpt2 = pipeline('text-generation', model = 'Lifan-Z/protGPT2_5') #最长1499个字母;1499/4=375 | |
| sequences = gpt2('<|endoftext|>', max_length=375, do_sample=True, top_k=950, repetition_penalty=1.2, num_return_sequences=10, eos_token_id=0) | |
| for seq in sequences: | |
| print(len(seq.get('generated_text'))) | |
| print(seq) | |
| ``` |