Instructions to use kbalde/distilbert-base-uncased-finetuned-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kbalde/distilbert-base-uncased-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kbalde/distilbert-base-uncased-finetuned-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("kbalde/distilbert-base-uncased-finetuned-imdb") model = AutoModelForMaskedLM.from_pretrained("kbalde/distilbert-base-uncased-finetuned-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- .gitignore +1 -0
- config.json +24 -0
- pytorch_model.bin +3 -0
- runs/Nov25_01-12-53_f5623b31e52b/1669339045.2695496/events.out.tfevents.1669339045.f5623b31e52b.106.1 +3 -0
- runs/Nov25_01-12-53_f5623b31e52b/events.out.tfevents.1669338815.f5623b31e52b.106.0 +3 -0
- runs/Nov25_01-12-53_f5623b31e52b/events.out.tfevents.1669339119.f5623b31e52b.106.2 +3 -0
- training_args.bin +3 -0
.gitignore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
checkpoint-*/
|
config.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "distilbert-base-uncased",
|
| 3 |
+
"activation": "gelu",
|
| 4 |
+
"architectures": [
|
| 5 |
+
"DistilBertForMaskedLM"
|
| 6 |
+
],
|
| 7 |
+
"attention_dropout": 0.1,
|
| 8 |
+
"dim": 768,
|
| 9 |
+
"dropout": 0.1,
|
| 10 |
+
"hidden_dim": 3072,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"max_position_embeddings": 512,
|
| 13 |
+
"model_type": "distilbert",
|
| 14 |
+
"n_heads": 12,
|
| 15 |
+
"n_layers": 6,
|
| 16 |
+
"pad_token_id": 0,
|
| 17 |
+
"qa_dropout": 0.1,
|
| 18 |
+
"seq_classif_dropout": 0.2,
|
| 19 |
+
"sinusoidal_pos_embds": false,
|
| 20 |
+
"tie_weights_": true,
|
| 21 |
+
"torch_dtype": "float32",
|
| 22 |
+
"transformers_version": "4.24.0",
|
| 23 |
+
"vocab_size": 30522
|
| 24 |
+
}
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:39a2302a109f5fe004845b3a9a33269de9939b203f3e5dac05e7d7630cc00009
|
| 3 |
+
size 267976815
|
runs/Nov25_01-12-53_f5623b31e52b/1669339045.2695496/events.out.tfevents.1669339045.f5623b31e52b.106.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4a64f3f92431433af8d95b1103cc29d4c2f48a9c3ffb8e65e3bd0ba4543cffec
|
| 3 |
+
size 5532
|
runs/Nov25_01-12-53_f5623b31e52b/events.out.tfevents.1669338815.f5623b31e52b.106.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9241ef9a23f3817a44ec188bb1da261195dbe7ef298d4cbcf34f1490f2bb2905
|
| 3 |
+
size 5496
|
runs/Nov25_01-12-53_f5623b31e52b/events.out.tfevents.1669339119.f5623b31e52b.106.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:45c4eef58178c27209cbe0b6d82440b808bdd1fd4fda69b695a7f725aac0f743
|
| 3 |
+
size 311
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:49a49e3b40ca224c6971fc572bfc5aeba144577e5db30cd2cc100731cac483b0
|
| 3 |
+
size 3439
|