Instructions to use vania2911/11_6kmslsamples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vania2911/11_6kmslsamples with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vania2911/11_6kmslsamples") model = AutoModelForSeq2SeqLM.from_pretrained("vania2911/11_6kmslsamples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files
config.json
CHANGED
|
@@ -50,7 +50,7 @@
|
|
| 50 |
"share_encoder_decoder_embeddings": true,
|
| 51 |
"static_position_embeddings": true,
|
| 52 |
"torch_dtype": "float32",
|
| 53 |
-
"transformers_version": "4.
|
| 54 |
"use_cache": true,
|
| 55 |
"vocab_size": 33257
|
| 56 |
}
|
|
|
|
| 50 |
"share_encoder_decoder_embeddings": true,
|
| 51 |
"static_position_embeddings": true,
|
| 52 |
"torch_dtype": "float32",
|
| 53 |
+
"transformers_version": "4.49.0",
|
| 54 |
"use_cache": true,
|
| 55 |
"vocab_size": 33257
|
| 56 |
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 244826404
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d8b336e55609f1b039f104b6349bee90b53fc8629ee2291125cc6e873234bca5
|
| 3 |
size 244826404
|
runs/Mar08_13-03-45_5ed6bf6b2cfa/events.out.tfevents.1741439032.5ed6bf6b2cfa.19073.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7dc72801f54a8419bd8415d760abe1539910e9a1208a67f1729bdd7ee7ca8951
|
| 3 |
+
size 7317
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5560
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7fcf4dc2c3c9c856248a7619788c4e9f24741854cb332222c056603de513c5e3
|
| 3 |
size 5560
|