Summarization
Transformers
Safetensors
Russian
mt5
text2text-generation
summarizer
text-generation-inference
Instructions to use sarahai/ru-sum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sarahai/ru-sum with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" 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("summarization", model="sarahai/ru-sum")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sarahai/ru-sum") model = AutoModelForSeq2SeqLM.from_pretrained("sarahai/ru-sum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload rng_state.pth
Browse files- rng_state.pth +3 -0
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:203e5009b34bdd3b323a52776b094c2ad5f5b3bae0f4733ad4f950587641e4ee
|
| 3 |
+
size 14244
|