# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("chgk13/tiny_russian_toxic_bert-openvino")
model = AutoModelForSequenceClassification.from_pretrained("chgk13/tiny_russian_toxic_bert-openvino", device_map="auto")Quick Links
This model was converted to OpenVINO from chgk13/tiny_russian_toxic_bert using optimum-intel
via the export space.
First make sure you have optimum-intel installed:
pip install optimum[openvino]
To load your model you can do as follows:
from optimum.intel import OVModelForSequenceClassification
model_id = "chgk13/tiny_russian_toxic_bert-openvino"
model = OVModelForSequenceClassification.from_pretrained(model_id)
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Base model
chgk13/tiny_russian_toxic_bert
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chgk13/tiny_russian_toxic_bert-openvino")