Transformers
PyTorch
TensorFlow
JAX
TensorBoard
Italian
t5
text2text-generation
seq2seq
lm-head
text-generation-inference
Instructions to use gsarti/it5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/it5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gsarti/it5-base") model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/it5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Saving weights and logs of step 280000
Browse files
events.out.tfevents.1631985708.t1v-n-5878b477-w-0.1370293.0.v2
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:b4c57a9361e7706906e842d2ceeddfcc9cf9e545b3705610072dbf0d4ab61199
|
| 3 |
+
size 41742221
|
flax_model.msgpack
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 990170015
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ae22a8a2bdb551f8bdbb7cb8562c54121257e2ddaee1ec87962efed4b6306d6b
|
| 3 |
size 990170015
|
opt_state.msgpack
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2194476
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bfb33dacd8b25d6c633a60bf036482c8ee7a2fddbbcb1fea445e3530d5015c6c
|
| 3 |
size 2194476
|
training_state.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"step":
|
|
|
|
| 1 |
+
{"step": 280001}
|