Instructions to use mlxen/electra-contrastdata-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlxen/electra-contrastdata-squad 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="mlxen/electra-contrastdata-squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mlxen/electra-contrastdata-squad") model = AutoModelForQuestionAnswering.from_pretrained("mlxen/electra-contrastdata-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 54005677
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0cbddef94a03671edd639d54c04beaab3c1186ab073cb4529ed3cefbe98e6011
|
| 3 |
size 54005677
|
runs/Nov28_07-16-39_17dac73d0a5b/events.out.tfevents.1669619805.17dac73d0a5b.106.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f1ee3c24e65760de90774064e231039ce1231f71a8af767b351c02ca917078af
|
| 3 |
+
size 10796
|