How to use htet-98/bert_base_multilingual_uncased_oversampling with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="htet-98/bert_base_multilingual_uncased_oversampling")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("htet-98/bert_base_multilingual_uncased_oversampling") model = AutoModelForSequenceClassification.from_pretrained("htet-98/bert_base_multilingual_uncased_oversampling", device_map="auto")
https://huggingface.co/htet-98/bert_base_multilingual_uncased_oversampling/resolve/main/tokenizer.json
hf download hf://htet-98/bert_base_multilingual_uncased_oversampling/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/htet-98/bert_base_multilingual_uncased_oversampling/resolve/main/tokenizer.json
