Translation
Transformers
Safetensors
English
Hindi
lstm_seq2seq_en_hi
text2text-generation
se2seq2014
custom_code
Instructions to use kd13/nano-translate-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kd13/nano-translate-v1 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="kd13/nano-translate-v1", trust_remote_code=True)# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("kd13/nano-translate-v1", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload generation_config.json
Browse files- generation_config.json +11 -0
generation_config.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 2,
|
| 3 |
+
"decoder_start_token_id": 2,
|
| 4 |
+
"early_stopping": true,
|
| 5 |
+
"eos_token_id": 3,
|
| 6 |
+
"length_penalty": 0.7,
|
| 7 |
+
"max_length": 100,
|
| 8 |
+
"num_beams": 10,
|
| 9 |
+
"pad_token_id": 1,
|
| 10 |
+
"transformers_version": "5.0.0"
|
| 11 |
+
}
|