Instructions to use sxandie/autotrain-re_syn_cleanedtext_bert-55272128958 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sxandie/autotrain-re_syn_cleanedtext_bert-55272128958 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sxandie/autotrain-re_syn_cleanedtext_bert-55272128958")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sxandie/autotrain-re_syn_cleanedtext_bert-55272128958") model = AutoModelForTokenClassification.from_pretrained("sxandie/autotrain-re_syn_cleanedtext_bert-55272128958", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 125 Bytes
96b4c53 | 1 2 3 4 5 6 7 8 | {
"cls_token": "[CLS]",
"mask_token": "[MASK]",
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"unk_token": "[UNK]"
}
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