Push model using huggingface_hub.

README.md

@@ -7,7 +7,7 @@ tags:
 pipeline_tag: text-classification
 ---
 
-# /var/folders/qg/vmj6zq4s7hb2pbkp3b8kstvh0000gn/T/tmpwt2xprax/fhamborg/newsframes-aff
+# /var/folders/qg/vmj6zq4s7hb2pbkp3b8kstvh0000gn/T/tmpk_iail3l/fhamborg/newsframes-aff
 
 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot learning technique that involves:
 
@@ -28,7 +28,7 @@ You can then run inference as follows:
 from setfit import SetFitModel
 
 # Download from Hub and run inference
-model = SetFitModel.from_pretrained("/var/folders/qg/vmj6zq4s7hb2pbkp3b8kstvh0000gn/T/tmpwt2xprax/fhamborg/newsframes-aff")
+model = SetFitModel.from_pretrained("/var/folders/qg/vmj6zq4s7hb2pbkp3b8kstvh0000gn/T/tmpk_iail3l/fhamborg/newsframes-aff")
 # Run inference
 preds = model(["i loved the spiderman movie!", "pineapple on pizza is the worst 🤮"])
 ```

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "/Users/felix/.cache/torch/sentence_transformers/sentence-transformers_paraphrase-mpnet-base-v2/",
+  "_name_or_path": "models/sentence-transformers-all-mpnet-base-v2-dataset_systematic_random_compare_with_absent.json-AFF_4-False-0.15-5e-06-10-3-0.7804744264931363/",
   "architectures": [
     "MPNetModel"
   ],

model_head.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:32c50397f166f35251240ae16521662e76e45a8f435313f40a2c98c9baf82e20
+oid sha256:9b8545b33e210f6339c6519741242ca227c41570d12b4f1a719736ddf68cbc27
 size 25479

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:215f95d6dc04cd341218925c30cfc04d6225e299c53d53bc2805fde72bbefd4d
+oid sha256:4398568cf06a68bf8c5809f257f70b03d275e9f0886b3059fbd61d4bc87adfd2
 size 438009257

tokenizer_config.json

@@ -34,8 +34,10 @@
     "rstrip": false,
     "single_word": false
   },
+  "max_length": 512,
   "model_max_length": 512,
   "never_split": null,
+  "pad_to_multiple_of": null,
   "pad_token": {
     "__type": "AddedToken",
     "content": "<pad>",
@@ -44,6 +46,8 @@
     "rstrip": false,
     "single_word": false
   },
+  "pad_token_type_id": 0,
+  "padding_side": "right",
   "sep_token": {
     "__type": "AddedToken",
     "content": "</s>",
@@ -52,9 +56,12 @@
     "rstrip": false,
     "single_word": false
   },
+  "stride": 0,
   "strip_accents": null,
   "tokenize_chinese_chars": true,
   "tokenizer_class": "MPNetTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
   "unk_token": {
     "__type": "AddedToken",
     "content": "[UNK]",