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

pipe = pipeline("text-classification", model="trhgquan/visobert-finetune-freezed-6969")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("trhgquan/visobert-finetune-freezed-6969")
model = AutoModelForSequenceClassification.from_pretrained("trhgquan/visobert-finetune-freezed-6969")
Quick Links
README.md exists but content is empty.
Downloads last month
2
Safetensors
Model size
97.6M params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for trhgquan/visobert-finetune-freezed-6969

Base model

uitnlp/visobert
Finetuned
(61)
this model

Collection including trhgquan/visobert-finetune-freezed-6969