Repository: huggingface/huggingface_hub (python)

Issue:
InferenceClient.feature_extraction makes wrong request to the inference endpoint
### Describe the bug

`InferenceClient.feature_extraction` takes in a `string` argument `text`, but it `POST`s that directly to the inference endpoint instead of wrapping it up in a list.

### Reproduction

_No response_

### Logs

_No response_

### System info

```shell
- huggingface_hub version: 0.16.4
- Platform: macOS-13.4.1-arm64-arm-64bit
- Python version: 3.11.5
- Running in iPython ?: No
- Running in notebook ?: No
- Running in Google Colab ?: No
- Token path ?: /Users/sumit/.cache/huggingface/token
- Has saved token ?: False
- Configured git credential helpers: osxkeychain
- FastAI: N/A
- Tensorflow: N/A
- Torch: N/A
- Jinja2: 3.1.2
- Graphviz: N/A
- Pydot: N/A
- Pillow: N/A
- hf_transfer: N/A
- gradio: N/A
- tensorboard: N/A
- numpy: 1.25.2
- pydantic: 2.3.0
- aiohttp: 3.8.5
- ENDPOINT: https://huggingface.co
- HUGGINGFACE_HUB_CACHE: /Users/sumit/.cache/huggingface/hub
- HUGGINGFACE_ASSETS_CACHE: /Users/sumit/.cache/huggingface/assets
- HF_TOKEN_PATH: /Users/sumit/.cache/huggingface/token
- HF_HUB_OFFLINE: False
- HF_HUB_DISABLE_TELEMETRY: False
- HF_HUB_DISABLE_PROGRESS_BARS: None
- HF_HUB_DISABLE_SYMLINKS_WARNING: False
- HF_HUB_DISABLE_EXPERIMENTAL_WARNING: False
- HF_HUB_DISABLE_IMPLICIT_TOKEN: False
- HF_HUB_ENABLE_HF_TRANSFER: False
```


Pull request description:
Return whole response from feature extraction endpoint instead of assuming its shape
Fixes #1647 

Patch:
diff --git a/src/huggingface_hub/inference/_client.py b/src/huggingface_hub/inference/_client.py
index c2f59c47..aeeb7b1b 100644
--- a/src/huggingface_hub/inference/_client.py
+++ b/src/huggingface_hub/inference/_client.py
@@ -507,7 +507,7 @@ class InferenceClient:
         """
         response = self.post(json={"inputs": text}, model=model, task="feature-extraction")
         np = _import_numpy()
-        return np.array(_bytes_to_dict(response)[0], dtype="float32")
+        return np.array(_bytes_to_dict(response), dtype="float32")
 
     def fill_mask(self, text: str, *, model: Optional[str] = None) -> List[FillMaskOutput]:
         """
diff --git a/src/huggingface_hub/inference/_generated/_async_client.py b/src/huggingface_hub/inference/_generated/_async_client.py
index 43451ee6..950162d8 100644
--- a/src/huggingface_hub/inference/_generated/_async_client.py
+++ b/src/huggingface_hub/inference/_generated/_async_client.py
@@ -509,7 +509,7 @@ class AsyncInferenceClient:
         """
         response = await self.post(json={"inputs": text}, model=model, task="feature-extraction")
         np = _import_numpy()
-        return np.array(_bytes_to_dict(response)[0], dtype="float32")
+        return np.array(_bytes_to_dict(response), dtype="float32")
 
     async def fill_mask(self, text: str, *, model: Optional[str] = None) -> List[FillMaskOutput]:
         """


Test patch:
diff --git a/tests/cassettes/InferenceClientVCRTest.test_feature_extraction_with_sentence_transformers.yaml b/tests/cassettes/InferenceClientVCRTest.test_feature_extraction_with_sentence_transformers.yaml
new file mode 100644
index 00000000..dfdc5bdf
--- /dev/null
+++ b/tests/cassettes/InferenceClientVCRTest.test_feature_extraction_with_sentence_transformers.yaml
@@ -0,0 +1,49 @@
+interactions:
+- request:
+    body: '{"inputs": "Hi, who are you?"}'
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '30'
+      Content-Type:
+      - application/json
+      X-Amzn-Trace-Id:
+      - 48c93e28-080d-4a24-97d2-ad328db8ad5f
+      user-agent:
+      - unknown/None; hf_hub/0.17.0.dev0; python/3.10.12; torch/1.12.1; tensorflow/2.11.0;
+        fastcore/1.5.23
+    method: POST
+    uri: https://api-inference.huggingface.co/pipeline/feature-extraction/sentence-transformers/all-MiniLM-L6-v2
+  response:
+    body:
+      string: '[-0.015488003380596638,0.02568504959344864,0.09088589996099472,0.06198530271649361,-0.040129248052835464,-0.05339203402400017,0.09715600311756134,0.03469717502593994,0.015956640243530273,-0.011821158230304718,-0.03288597986102104,-0.03562533110380173,-0.03749241679906845,-0.05202146992087364,0.029130304232239723,0.026269758120179176,0.04752971604466438,-0.03981475532054901,-0.10710455477237701,-0.04527846351265907,-0.05333522707223892,0.01959465816617012,0.005352573469281197,0.06281762570142746,-0.05192131549119949,-0.06000176817178726,0.06045954301953316,0.058989714831113815,-0.04338134080171585,-0.04691532254219055,0.036875441670417786,0.0553438626229763,-0.025663791224360466,0.028891634196043015,-0.002980383113026619,0.1019594594836235,-0.03168764337897301,-0.08663859963417053,0.010402388870716095,0.034213028848171234,0.023748792707920074,-0.005350565072149038,-0.0007556885830126703,0.006971727591007948,0.0924072116613388,-0.09179233014583588,-0.006686083506792784,0.04239071533083916,-0.021530259400606155,0.022891126573085785,-0.08954467624425888,-0.016592347994446754,0.010313213802874088,0.006074502132833004,0.04459349811077118,-0.014703832566738129,-0.058264147490262985,-0.015335035510361195,0.11178608238697052,-0.0288534052670002,-0.03507443889975548,0.03321828693151474,-0.07731037586927414,0.05726179853081703,-0.010513161309063435,-0.015395574271678925,0.005947402212768793,-0.02848624996840954,-0.002042497042566538,-0.022558165714144707,0.02557615004479885,-0.031124237924814224,-0.017573293298482895,0.027407802641391754,0.011907815001904964,-0.13045574724674225,0.05963331460952759,-0.031243789941072464,0.08464351296424866,0.011891472153365612,0.12086126208305359,-0.06646530330181122,-0.03442336991429329,-0.014139499515295029,-0.020020751282572746,-0.024550171568989754,0.03518184274435043,0.02602194994688034,-0.07537377625703812,-0.04512234777212143,-0.11447426676750183,0.06004863977432251,0.050079308450222015,0.002436161506921053,0.008054151199758053,-0.019581535831093788,0.06068527325987816,-0.029069695621728897,-0.11849680542945862,0.19127041101455688,0.04302886500954628,0.057212505489587784,0.018593933433294296,0.04831116273999214,0.02892104536294937,0.03642671927809715,-0.08078905194997787,0.045677654445171356,-0.04328872635960579,-0.03778192400932312,0.044068899005651474,-0.0488777831196785,-0.08991095423698425,-0.015680551528930664,0.023224234580993652,0.023814665153622627,0.024506816640496254,-0.003076164983212948,0.005233271047472954,-0.09886746108531952,0.00412531103938818,-0.008703207597136497,-0.003159345593303442,-0.0053872764110565186,0.02183465100824833,0.032812055200338364,-0.019271252676844597,-6.3860302832115e-33,0.05557152256369591,-0.02944130077958107,0.10268908739089966,0.12549802660942078,-0.10334186255931854,-0.013734928332269192,-0.0017235170817002654,-0.040916670113801956,0.001198898651637137,-0.06809760630130768,0.03835713863372803,-0.011545447632670403,-0.09097802639007568,0.011563128791749477,-0.055977918207645416,0.03141440451145172,0.07879236340522766,-0.014584570191800594,-0.005799459293484688,0.07969091087579727,-0.060531068593263626,0.014752582646906376,-0.011342428624629974,0.058411549776792526,0.02204466052353382,-0.07795903086662292,0.005299396347254515,-0.1344393640756607,0.043024759739637375,0.03288498893380165,0.048845987766981125,0.04022959619760513,0.014033233746886253,-0.009189552627503872,-0.08386309444904327,-0.0639234185218811,0.008618426509201527,-0.04197821766138077,-0.006849868223071098,-0.00877351500093937,-0.0009002164006233215,0.02906033955514431,0.10563940554857254,-0.02103484235703945,-0.07340109348297119,-0.0020454004406929016,0.018356945365667343,0.02422454208135605,-0.014901370741426945,0.03248341381549835,-0.0922296792268753,0.010189760476350784,-0.06558964401483536,0.007468798663467169,-0.018196018412709236,-0.1457824856042862,-0.01584876887500286,-0.00996595062315464,0.038348373025655746,0.05008549615740776,0.002209255937486887,0.10334494709968567,-0.0075745247304439545,0.013419363647699356,-0.0858914703130722,-0.028669729828834534,0.0172968078404665,-0.08050919324159622,0.09611788392066956,-0.04364169389009476,0.005056267604231834,-0.02275102399289608,-0.0027849830221384764,0.03860025480389595,-0.0313274972140789,0.05670100450515747,0.017083516344428062,0.035996995866298676,-0.03225824236869812,-0.06392467767000198,-0.0009643251542001963,0.08038908988237381,-0.004393764305859804,-0.008017303422093391,-0.006596939638257027,-0.06990642845630646,-0.021638210862874985,-0.09537546336650848,-0.04787294566631317,0.030017774552106857,-0.0564022921025753,0.013200130313634872,0.12777258455753326,-0.040990378707647324,-0.04150303453207016,2.7102745092115762e-33,0.11768963187932968,0.009109687991440296,-0.015613820403814316,-0.05708906799554825,0.04869804158806801,-0.054567743092775345,-0.03023681789636612,0.0676855519413948,-0.07275334745645523,0.009499989449977875,0.057831838726997375,-0.03812985122203827,0.06382809579372406,-0.02192682772874832,0.055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+    headers:
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '8068'
+      Content-Type:
+      - application/json
+      Date:
+      - Fri, 08 Sep 2023 07:20:46 GMT
+      access-control-allow-credentials:
+      - 'true'
+      vary:
+      - Origin, Access-Control-Request-Method, Access-Control-Request-Headers
+      x-compute-time:
+      - '0.010'
+      x-compute-type:
+      - cache
+      x-request-id:
+      - dQcVrExSwbDQNuIURyPId
+      x-sha:
+      - 7dbbc90392e2f80f3d3c277d6e90027e55de9125
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/tests/cassettes/InferenceClientVCRTest.test_feature_extraction.yaml b/tests/cassettes/InferenceClientVCRTest.test_feature_extraction_with_transformers.yaml
similarity index 99%
rename from tests/cassettes/InferenceClientVCRTest.test_feature_extraction.yaml
rename to tests/cassettes/InferenceClientVCRTest.test_feature_extraction_with_transformers.yaml
index 02da3ecc..01e90b09 100644
--- a/tests/cassettes/InferenceClientVCRTest.test_feature_extraction.yaml
+++ b/tests/cassettes/InferenceClientVCRTest.test_feature_extraction_with_transformers.yaml
@@ -12,8 +12,10 @@ interactions:
       - '30'
       Content-Type:
       - application/json
+      X-Amzn-Trace-Id:
+      - 1927a5b2-a186-43c2-ac64-274f65e8eaf7
       user-agent:
-      - unknown/None; hf_hub/0.15.0.dev0; python/3.10.6; torch/1.12.1; tensorflow/2.11.0;
+      - unknown/None; hf_hub/0.17.0.dev0; python/3.10.12; torch/1.12.1; tensorflow/2.11.0;
         fastcore/1.5.23
     method: POST
     uri: https://api-inference.huggingface.co/pipeline/feature-extraction/facebook/bart-base
@@ -28,17 +30,17 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Fri, 26 May 2023 08:01:22 GMT
+      - Fri, 08 Sep 2023 07:20:47 GMT
       access-control-allow-credentials:
       - 'true'
       vary:
       - Origin, Access-Control-Request-Method, Access-Control-Request-Headers
       x-compute-time:
-      - '0.032'
+      - '0.037'
       x-compute-type:
       - cache
       x-request-id:
-      - Np8cBNsJriWfE_pCIFaiT
+      - VqJ_6NWGSg8mBsg_jugBF
       x-sha:
       - aadd2ab0ae0c8268c7c9693540e9904811f36177
     status:
diff --git a/tests/test_inference_client.py b/tests/test_inference_client.py
index 8852faec..56068dfe 100644
--- a/tests/test_inference_client.py
+++ b/tests/test_inference_client.py
@@ -133,10 +133,15 @@ class InferenceClientVCRTest(InferenceClientTest):
         output = self.client.document_question_answering(self.document_file, "What is the purchase amount?")
         self.assertEqual(output, [{"answer": "$1,000,000,000"}])
 
-    def test_feature_extraction(self) -> None:
+    def test_feature_extraction_with_transformers(self) -> None:
         embedding = self.client.feature_extraction("Hi, who are you?")
         self.assertIsInstance(embedding, np.ndarray)
-        self.assertEqual(embedding.shape, (8, 768))
+        self.assertEqual(embedding.shape, (1, 8, 768))
+
+    def test_feature_extraction_with_sentence_transformers(self) -> None:
+        embedding = self.client.feature_extraction("Hi, who are you?", model="sentence-transformers/all-MiniLM-L6-v2")
+        self.assertIsInstance(embedding, np.ndarray)
+        self.assertEqual(embedding.shape, (384,))
 
     def test_fill_mask(self) -> None:
         model = "distilroberta-base"