@@ -339,6 +339,7 @@ else:
|
||||
("musicgen_melody", ("T5Tokenizer", "T5TokenizerFast" if is_tokenizers_available() else None)),
|
||||
("mvp", ("MvpTokenizer", "MvpTokenizerFast" if is_tokenizers_available() else None)),
|
||||
("myt5", ("MyT5Tokenizer", None)),
|
||||
("nemotron", (None, "PreTrainedTokenizerFast" if is_tokenizers_available() else None)),
|
||||
("nezha", ("BertTokenizer", "BertTokenizerFast" if is_tokenizers_available() else None)),
|
||||
(
|
||||
"nllb",
|
||||
|
||||
@@ -835,9 +835,9 @@ class GgufIntegrationTests(unittest.TestCase):
|
||||
|
||||
tokenizer = AutoTokenizer.from_pretrained(self.nemotron_model_id, gguf_file=self.q6_k_nemotron_model_id)
|
||||
text = tokenizer(self.example_text, return_tensors="pt")["input_ids"]
|
||||
out = model.generate(text, max_new_tokens=10)
|
||||
out = model.generate(text, max_new_tokens=16)
|
||||
|
||||
EXPECTED_TEXT = "'Hello. hotmail.com.'"
|
||||
EXPECTED_TEXT = "Hello.▁hotmail.com</s>"
|
||||
self.assertEqual(tokenizer.decode(out[0], skip_special_tokens=True), EXPECTED_TEXT)
|
||||
|
||||
def test_gemma2_q3_k(self):
|
||||
|
||||
Reference in New Issue
Block a user