Instructions to use Adorg/mc231104 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Adorg/mc231104 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Adorg/mc231104", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Adorg/mc231104", trust_remote_code=True) model = AutoModel.from_pretrained("Adorg/mc231104", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Upload special_tokens_map.json with huggingface_hub
Browse files- special_tokens_map.json +6 -0
special_tokens_map.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "[BOS]",
|
| 3 |
+
"eos_token": "<|endoftext|>",
|
| 4 |
+
"pad_token": "[PAD]",
|
| 5 |
+
"unk_token": "<|endoftext|>"
|
| 6 |
+
}
|