Instructions to use Backedman/TriviaAnsweringMachineREAL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Backedman/TriviaAnsweringMachineREAL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Backedman/TriviaAnsweringMachineREAL", trust_remote_code=True)# Load model directly from transformers import AutoModelForQuestionAnswering model = AutoModelForQuestionAnswering.from_pretrained("Backedman/TriviaAnsweringMachineREAL", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update tfidf_model.py
Browse files- tfidf_model.py +1 -1
tfidf_model.py
CHANGED
|
@@ -217,7 +217,7 @@ class NLPModel:
|
|
| 217 |
answers.extend(similarities_max.keys())
|
| 218 |
similarities_per_sentence = similarities_max
|
| 219 |
else:
|
| 220 |
-
for answer, similarity in similarities_max:
|
| 221 |
similarities_per_sentence[answer] += similarity
|
| 222 |
|
| 223 |
similarities_max = {}
|
|
|
|
| 217 |
answers.extend(similarities_max.keys())
|
| 218 |
similarities_per_sentence = similarities_max
|
| 219 |
else:
|
| 220 |
+
for answer, similarity in similarities_max.items():
|
| 221 |
similarities_per_sentence[answer] += similarity
|
| 222 |
|
| 223 |
similarities_max = {}
|