Upload save_model.py
Browse files- save_model.py +32 -0
save_model.py
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
# coding: utf-8
|
| 3 |
+
|
| 4 |
+
# In[1]:
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
import torch
|
| 8 |
+
from transformers import BertTokenizer, BertModel, GPT2LMHeadModel, GPT2Tokenizer
|
| 9 |
+
|
| 10 |
+
# Load pre-trained models and tokenizers
|
| 11 |
+
bert_model_name = 'bert-base-uncased'
|
| 12 |
+
bert_tokenizer = BertTokenizer.from_pretrained(bert_model_name)
|
| 13 |
+
bert_model = BertModel.from_pretrained(bert_model_name)
|
| 14 |
+
|
| 15 |
+
gpt2_model_name = 'gpt2'
|
| 16 |
+
gpt2_tokenizer = GPT2Tokenizer.from_pretrained(gpt2_model_name)
|
| 17 |
+
gpt2_model = GPT2LMHeadModel.from_pretrained(gpt2_model_name)
|
| 18 |
+
|
| 19 |
+
# Save BERT model and tokenizer
|
| 20 |
+
bert_model.save_pretrained("bert_model")
|
| 21 |
+
bert_tokenizer.save_pretrained("bert_model")
|
| 22 |
+
|
| 23 |
+
# Save GPT-2 model and tokenizer
|
| 24 |
+
gpt2_model.save_pretrained("gpt2_model")
|
| 25 |
+
gpt2_tokenizer.save_pretrained("gpt2_model")
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
# In[ ]:
|
| 29 |
+
|
| 30 |
+
|
| 31 |
+
|
| 32 |
+
|