Question Answering
Transformers
TensorBoard
Safetensors
English
bert
general_knowledge
Question_Answers
Instructions to use prabinpanta0/ZenGQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prabinpanta0/ZenGQ with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" 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("question-answering", model="prabinpanta0/ZenGQ")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("prabinpanta0/ZenGQ") model = AutoModelForQuestionAnswering.from_pretrained("prabinpanta0/ZenGQ", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete special_tokens_map.json
Browse files- special_tokens_map.json +0 -7
special_tokens_map.json
DELETED
|
@@ -1,7 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"cls_token": "[CLS]",
|
| 3 |
-
"mask_token": "[MASK]",
|
| 4 |
-
"pad_token": "[PAD]",
|
| 5 |
-
"sep_token": "[SEP]",
|
| 6 |
-
"unk_token": "[UNK]"
|
| 7 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|