How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("fill-mask", model="BookingCare/bkcare-bert-pretrained")
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("BookingCare/bkcare-bert-pretrained")
model = AutoModelForMaskedLM.from_pretrained("BookingCare/bkcare-bert-pretrained")
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Bkcare-base-pretrained: Pre-trained Language Models for Vietnamese in Health Text Mining

bkcare-bert-pretrained is the a strong baseline language models for Vietnamese in Healthcare domain.

Example usage

import torch
from transformers import AutoModel, AutoTokenizer

vihealthbert = AutoModel.from_pretrained("BookingCare/bkcare-bert-pretrained")
tokenizer = AutoTokenizer.from_pretrained("BookingCare/bkcare-bert-pretrained")

line = "Bệnh viện chợ rẫy ở Thành phố Hồ Chí Minh"

input_ids = torch.tensor([tokenizer.encode(line)])
with torch.no_grad():
    features = vihealthbert(input_ids)  # Models outputs are now tuples
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