Instructions to use GoatMilk98/635-a2-distillbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GoatMilk98/635-a2-distillbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="GoatMilk98/635-a2-distillbert")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("GoatMilk98/635-a2-distillbert") model = AutoModelForQuestionAnswering.from_pretrained("GoatMilk98/635-a2-distillbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bfe21d1eb4439ed3264c7ed708ef16a4baf48fa67be6b3c9f43d42068a386bb1
|
| 3 |
+
size 265470032
|