Instructions to use Harcuracy/feranmi_translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harcuracy/feranmi_translator with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Harcuracy/feranmi_translator") model = AutoModelForSeq2SeqLM.from_pretrained("Harcuracy/feranmi_translator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- config.json +1 -1
config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "
|
| 3 |
"activation_dropout": 0.0,
|
| 4 |
"activation_function": "swish",
|
| 5 |
"add_bias_logits": false,
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "Helsinki-NLP/opus-mt-mul-en",
|
| 3 |
"activation_dropout": 0.0,
|
| 4 |
"activation_function": "swish",
|
| 5 |
"add_bias_logits": false,
|