Spaces:
Paused
Paused
Update utils.py
Browse files
utils.py
CHANGED
|
@@ -63,7 +63,8 @@ def load_tokenizer_and_model_setFit(base_model, load_8bit=False):
|
|
| 63 |
|
| 64 |
#tokenizer = AutoTokenizer.from_pretrained(base_model, use_fast = True, use_auth_token=True, bos_token='<|startoftext|>', eos_token='<|endoftext|>', pad_token='<|pad|>')
|
| 65 |
tokenizer = AutoTokenizer.from_pretrained(base_model, use_fast = True, use_auth_token=True)
|
| 66 |
-
tokenizer.
|
|
|
|
| 67 |
if device == "cuda":
|
| 68 |
model = SetFitModel.from_pretrained(
|
| 69 |
base_model,
|
|
@@ -93,7 +94,8 @@ def load_tokenizer_and_model(base_model, load_8bit=False):
|
|
| 93 |
|
| 94 |
#tokenizer = AutoTokenizer.from_pretrained(base_model, use_fast = True, use_auth_token=True, bos_token='<|startoftext|>', eos_token='<|endoftext|>', pad_token='<|pad|>')
|
| 95 |
tokenizer = AutoTokenizer.from_pretrained(base_model, use_fast = True, use_auth_token=True)
|
| 96 |
-
tokenizer.
|
|
|
|
| 97 |
if device == "cuda":
|
| 98 |
model = AutoModelForCausalLM.from_pretrained(
|
| 99 |
base_model,
|
|
|
|
| 63 |
|
| 64 |
#tokenizer = AutoTokenizer.from_pretrained(base_model, use_fast = True, use_auth_token=True, bos_token='<|startoftext|>', eos_token='<|endoftext|>', pad_token='<|pad|>')
|
| 65 |
tokenizer = AutoTokenizer.from_pretrained(base_model, use_fast = True, use_auth_token=True)
|
| 66 |
+
tokenizer.pad_token = tokenizer.eos_token
|
| 67 |
+
tokenizer.pad_token_id = tokenizer.eos_token_id
|
| 68 |
if device == "cuda":
|
| 69 |
model = SetFitModel.from_pretrained(
|
| 70 |
base_model,
|
|
|
|
| 94 |
|
| 95 |
#tokenizer = AutoTokenizer.from_pretrained(base_model, use_fast = True, use_auth_token=True, bos_token='<|startoftext|>', eos_token='<|endoftext|>', pad_token='<|pad|>')
|
| 96 |
tokenizer = AutoTokenizer.from_pretrained(base_model, use_fast = True, use_auth_token=True)
|
| 97 |
+
tokenizer.pad_token = tokenizer.eos_token
|
| 98 |
+
tokenizer.pad_token_id = tokenizer.eos_token_id
|
| 99 |
if device == "cuda":
|
| 100 |
model = AutoModelForCausalLM.from_pretrained(
|
| 101 |
base_model,
|