Instructions to use hustcw/clap-asm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hustcw/clap-asm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hustcw/clap-asm", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hustcw/clap-asm", trust_remote_code=True) model = AutoModel.from_pretrained("hustcw/clap-asm", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Missing tokens
#2
by Nguyen-BangVu - opened
Hello,
Thanks for doing this project. I was planning to use your tokenizer.
However, I just took a closer look at all the vocab you have. It is missing the following tokens (esp, rip, ymm0, zmm0, xmm0, je, jne, ymmword) . Is there a reason for that?