lab_10_640510710 (1).py

# -*- coding: utf-8 -*-
"""Lab_10_640510710.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/1Dg3wcofHEqoNIptakVwyhbpYSRv-1bgf
"""

from google.colab import drive

drive.mount('/content/gdrive')

!pip install -q kaggle
!mkdir ~/.kaggle
!cp /content/gdrive/MyDrive/kaggle.json ~/.kaggle/
!kaggle datasets list

!kaggle datasets download -d mdwaquarazam/agricultural-crops-image-classification

!unzip /content/agricultural-crops-image-classification.zip

!python -m pip install transformers accelerate sentencepiece emoji pythainlp --quiet
!python -m pip install --no-deps thai2transformers==0.1.2 --quiet

from transformers import pipeline
from transformers import PerceiverFeatureExtractor, PerceiverForImageClassificationLearned
classifier = pipeline(task="image-classification")

classifier('/content/Agricultural-crops/banana/image (27).jpg')

from transformers import TrainingArguments

training_args = TrainingArguments(output_dir="test_trainer",
                                  evaluation_strategy="epoch",
                                  learning_rate=2e-5,
                                  optim="adamw_torch")

from transformers import BertForSequenceClassification, BertTokenizer, AdamW, get_linear_schedule_with_warmup

# โมเดล BERT สำหรับจำแนกประเภท
model = BertForSequenceClassification.from_pretrained('bert-base-uncased', num_labels=len(dataset.classes))

# ใช้ tokenizer ของ BERT
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')

!python -m pip install huggingface_hub --quiet

!huggingface-cli login
!huggingface-cli repo create finetuned_yelp --type model

model.push_to_hub("finetuned_yelp")
tokenizer.push_to_hub("finetuned_yelp")