Fill-Mask
Transformers
TensorFlow
English
bert
license
sentence-classification
scancode
license-compliance
Instructions to use ayansinha/false-positives-scancode-bert-base-uncased-L8-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayansinha/false-positives-scancode-bert-base-uncased-L8-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ayansinha/false-positives-scancode-bert-base-uncased-L8-1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ayansinha/false-positives-scancode-bert-base-uncased-L8-1") model = AutoModelForMaskedLM.from_pretrained("ayansinha/false-positives-scancode-bert-base-uncased-L8-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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