Question Answering
Transformers
PyTorch
TensorBoard
bloom
Generated from Trainer
text-generation-inference
Instructions to use halo-69/Bloom_3b_squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use halo-69/Bloom_3b_squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="halo-69/Bloom_3b_squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("halo-69/Bloom_3b_squad") model = AutoModelForQuestionAnswering.from_pretrained("halo-69/Bloom_3b_squad") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3000
Browse files- adapter_model.bin +1 -1
adapter_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 19683045
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:810f8bd6627ddac4e5fd199ddee2dafd3f8219a459cb7a1c2168b4a04b63188c
|
| 3 |
size 19683045
|