Instructions to use castorini/afriteva_v2_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use castorini/afriteva_v2_large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("castorini/afriteva_v2_large") model = AutoModelForSeq2SeqLM.from_pretrained("castorini/afriteva_v2_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
0d9957d
1
Parent(s): 11ea6f8
Upload tokenizer
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
CHANGED
|
@@ -103,7 +103,7 @@
|
|
| 103 |
],
|
| 104 |
"eos_token": "</s>",
|
| 105 |
"extra_ids": 100,
|
| 106 |
-
"model_max_length":
|
| 107 |
"pad_token": "<pad>",
|
| 108 |
"sp_model_kwargs": {},
|
| 109 |
"tokenizer_class": "T5Tokenizer",
|
|
|
|
| 103 |
],
|
| 104 |
"eos_token": "</s>",
|
| 105 |
"extra_ids": 100,
|
| 106 |
+
"model_max_length": 512,
|
| 107 |
"pad_token": "<pad>",
|
| 108 |
"sp_model_kwargs": {},
|
| 109 |
"tokenizer_class": "T5Tokenizer",
|