Instructions to use iyaja/codebert-llvm-ic-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iyaja/codebert-llvm-ic-v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="iyaja/codebert-llvm-ic-v0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("iyaja/codebert-llvm-ic-v0") model = AutoModelForSequenceClassification.from_pretrained("iyaja/codebert-llvm-ic-v0") - Notebooks
- Google Colab
- Kaggle
add tokenizer
Browse files- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
special_tokens_map.json
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{"sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]"}
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tokenizer.json
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tokenizer_config.json
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{"max_len_single_sentence": 512, "tokenizer_class": "PreTrainedTokenizerFast"}
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